German IT Industry Jobs’ Post

🚀 Seeking Exciting Opportunities as a Senior Data Engineer! 📊 Hello LinkedIn community, I hope this post finds you well. I am excited to announce that I am actively looking for new opportunities as a Senior Data Engineer on corp-to-corp . 👨💼💼 With a strong background in data engineering and a proven track record of turning data into actionable insights, I am eager to take on new challenges and contribute my expertise to a forward-thinking organization. Here's a glimpse of what I bring to the table: 📈 Expertise: I have a deep understanding of data pipelines, ETL processes, and data warehousing, and I am well-versed in working with a variety of data technologies and clouds. 🛠 Technical Skills: Proficient in tools like Python, SQL, Hadoop, Spark, and more, I have hands-on experience in building and optimizing data architectures. 🌐 Data-Driven Mindset: I believe in the power of data to drive informed decision-making and can translate business requirements into scalable data solutions. 🔗 Team Collaboration: I thrive in cross-functional teams and am adept at communicating complex technical concepts to non-technical stakeholders. 📊 Data Security & Compliance: I take data security and compliance seriously and ensure that data remains secure and meets all regulatory requirements. 🌟 If your organization is in need of a Senior Data Engineer who is passionate about leveraging data to create value, I'd love to connect and discuss potential opportunities. Feel free to reach out to me here on LinkedIn or via email at [vamsisure68@gmail.com]. 🔗 Let's connect and explore how we can work together to drive data-driven success! #c2c, #corp2corp, #uscontractjobs, #corptocorp, #contracttohire, #CTH, #remote, #onsite, #dataengineer, #etl, #aws, #Azure, #python, #cloud, #cloudservices, #datalake, #bigdata, #hadoop, #snowflake, #databricks, #datamodeling, #mysql, #cloudservices, #postgre, #apache, #airflow, #contract, #dataengineerjobs, #etldeveloper, #pythondeveloper, #bigdatadeveloper, #opentorelocate, #relocate, #dataengineercontract, #usitrecruiters, #gc, #greencard, #hadoopdeveloper, #TechJobs, #Hiring, #JobSearch, #usrecutier, #ITrecutier

#w2jobs #usajobs #w2requirements #opentowork #lookingfornewopportunities #lookingforjobs #lookingforjob #lookingforjobchange #lookingforwork #lookingfornewjob #recruitment2024 Role: Data Engineer Location: DEARBORN,MI - Only locals. Type: W2 Experience: 7+ Position Description: JOB DESCRIPTION : Deliver, and support custom data products, as well as enhance/expand capabilities. They will work on analyzing and manipulating large datasets supporting public charging locations. The focus will be understanding available data, working with business partners to collect requirements, ensure compliance with Data Governance and OGC use case approvals, creating data products, productionize delivery, profiling, monitoring and ongoing support. They will expand their business knowledge, cross functional collaboration, business intelligence acumen, and technical experience.   Job Description: • Develop EL/ELT/ETL pipelines by using Python/Pyspark to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Charging / Energy Analytics Product Line. • Orchestrate workflows by using Astronomer (Airflow) that execute ETL data pipelines in a scheduled manner. • Work with Cloud data sources (GCP) understand the data model, business rules behind the data and build data pipelines (with GCP) for one or more business domains. • Build cloud-native services and APIs to support and expose data-driven solutions. • Partner closely with our data scientists to ensure the right data is made available in a timely manner to deliver compelling and insightful solutions. • Design, build and launch shared data services to be leveraged by the internal and external partner developer community. • Building out scalable data pipelines and choosing the right tools for the right job. Manage, optimize and Monitor data pipelines. • Provide extensive technical, strategic advice and guidance to key stakeholders around data transformation efforts. Understand how data is useful to the enterprise. Skills Required: Comfortable with a broad array of relational and non-relational databases. Proven track record of building applications in a data-focused role (Cloud and Traditional Data Warehouse) BigQuery, Astronomer, Python, airflow, DataPro c Skills Preferred: terraform, GCP cloud services, pub sub, Vertex AI, ML Flow Experience Required: • 7+ years of experience with SQL and Python • 2+ years of experience with GCP or AWS cloud services; Strong candidates with 5+ years in a traditional data warehouse environment (ETL pipelines) will be considered • 3+ years of experience building out data pipelines from scratch in a highly distributed and fault-tolerant manner. Regards,  Nagalakshmi vnagalakshmi@mylastech.com

#hiring *Lead Engineer - Big Data Platform/Infra (Hadoop, Spark Streaming, Druid)*, Minneapolis, *United States*, $196K, fulltime #jobs #jobseekers #careers $196K #Minneapolisjobs #Minnesotajobs #ITCommunications *Apply*: https://lnkd.in/gQw-sMG6 Location: 7000 Target Pkwy N, Brooklyn Park, Minnesota, United States, 55445The pay range is $109,000.00 - $196,200.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at . JOIN US AS A LEAD ENGINEER - BIG DATA PLATFORM About us: As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It's how we care, grow, and win together. The Target High Performance Distributed Computing team creates the platforms and tools to enable our business partners to make data-based decisions at Target. This team helps to manage hardware and software for large scale distributed computing, frequently angling towards data analytics and Artificial Intelligence/Machine Learning type applications. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We're also the source of the data and analytics behind Target's Supply Chain optimization, fraud detection, demand forecasting (DFE) and metrics to support our stores. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or As a Lead Engineer, you serve as the technical anchor for the engineering team that supports a product. You create, own and are responsible for the application and platform architecture that best serves the product in its functional and non-

#hiring Copy of Principal Data Scientist, Dallas, United States, fulltime #opentowork #jobs #jobseekers #careers #Dallasjobs #Texasjobs #ITCommunications Apply: https://lnkd.in/gPKTAdh2 100% Remote Principal Data Scientist - up to $220k base salary - AWS, SageMaker, Athena, Glue - Innovation focused roleThis Jobot Job is hosted by: Lucas WatsonAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $180,000 - $250,000 per yearA bit about us:Our client, and innovation and technology focused upstream oil and gas enterprise, is seeking a Principal Data Scientist for a full time, direct hire, 100% remote role.Why join us?Fully remote opportunityInnovation driven companyCutting edge technology, far ahead of the rest of the industryStable, profitable, and growing organizationJob DetailsRole Description: As the Principal Data Scientist, you will be responsible for designing and implementing advanced analytical models and algorithms to extract valuable insights from large and complex datasets, enabling data-driven decision making across various business functions. You will collaborate closely with cross-functional teams to identify and prioritize analytical opportunities, working closely with business stakeholders to understand their needs and translate them into actionable data science projects. Additionally, you will lead a team of data scientists, providing technical guidance and mentoring, while staying up-to-date with the latest trends in data science and incorporating them into our processes. The ideal candidate will have a strong background in statistical modeling and data analysis, along with expertise in programming, machine learning, and data visualization tools. If you are passionate about leveraging data to drive meaningful impact and have a proven track record of delivering actionable insights, we welcome you to join our team and help shape the future of our company.Technical Qualifications: AWS Mastery: Deep expertise in the AWS cloud platform, especially the services relevant to data science such as SageMaker, Redshift, EMR, Kinesis, and Lambda. Data Architecture: Comprehensive understanding of AWS data lake architecture, database design, and best practices around large-scale data processing. Big Data Technologies: Hands-on experience with big data tools available in the AWS ecosystem like Athena, Glue, and DynamoDB. Machine Learning: Proficiency in using AWS machine learning tools and services, including but not limited to SageMaker, Rekognition, and Comprehend. Serverless Computing: Experience with AWS serverless architectures and associated technologies such as Lambda and API Gateway. Integration: Ability to integrate AWS data services with on-premises applications and external software solutions. Data Security and Compliance: Solid understanding of AWS security best practices, especially concerning data protection and

#hiring Principal Data Scientist, Houston, United States, fulltime #opentowork #jobs #jobseekers #careers #Houstonjobs #Texasjobs #ITCommunications Apply: https://lnkd.in/gY9PTCUF 100% Remote Principal Data Scientist - up to $220k base salary - AWS, SageMaker, Athena, Glue - Innovation focused roleThis Jobot Job is hosted by: Lucas WatsonAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $180,000 - $250,000 per yearA bit about us:Our client, and innovation and technology focused upstream oil and gas enterprise, is seeking a Principal Data Scientist for a full time, direct hire, 100% remote role.Why join us?Fully remote opportunityInnovation driven companyCutting edge technology, far ahead of the rest of the industryStable, profitable, and growing organizationJob DetailsRole Description: As the Principal Data Scientist, you will be responsible for designing and implementing advanced analytical models and algorithms to extract valuable insights from large and complex datasets, enabling data-driven decision making across various business functions. You will collaborate closely with cross-functional teams to identify and prioritize analytical opportunities, working closely with business stakeholders to understand their needs and translate them into actionable data science projects. Additionally, you will lead a team of data scientists, providing technical guidance and mentoring, while staying up-to-date with the latest trends in data science and incorporating them into our processes. The ideal candidate will have a strong background in statistical modeling and data analysis, along with expertise in programming, machine learning, and data visualization tools. If you are passionate about leveraging data to drive meaningful impact and have a proven track record of delivering actionable insights, we welcome you to join our team and help shape the future of our company.Technical Qualifications: AWS Mastery: Deep expertise in the AWS cloud platform, especially the services relevant to data science such as SageMaker, Redshift, EMR, Kinesis, and Lambda. Data Architecture: Comprehensive understanding of AWS data lake architecture, database design, and best practices around large-scale data processing. Big Data Technologies: Hands-on experience with big data tools available in the AWS ecosystem like Athena, Glue, and DynamoDB. Machine Learning: Proficiency in using AWS machine learning tools and services, including but not limited to SageMaker, Rekognition, and Comprehend. Serverless Computing: Experience with AWS serverless architectures and associated technologies such as Lambda and API Gateway. Integration: Ability to integrate AWS data services with on-premises applications and external software solutions. Data Security and Compliance: Solid understanding of AWS security best practices, especially concerning data protection and IAM policies

Greetings, LinkedIn Community! I hope this message finds you thriving and in good spirits. I'm Aswith , a seasoned Data Engineer with a rich tapestry of over a decade's worth of experience in the field. My journey in the realm of data engineering has been marked by a deep dive into Big Data technologies, where I've navigated and conquered challenges with AWS, Azure, and GCP at the forefront. My forte lies in architecting robust data pipelines and orchestrating seamless data migrations to cloud environments. Across industries  spanning healthcare, insurance, and banking, I've had the privilege of leaving my mark through significant contributions. Currently, I'm on the lookout for new opportunities in Data Engineering on a C2C/C2H basis. If your organization is on the lookout for a dynamic professional to drive data initiatives forward, or if you simply have valuable insights to share, I'd love to connect and explore synergies. Feel free to reach out to me at paswith797@gmail.com or 8722402068. Your time and consideration are greatly appreciated, and I eagerly anticipate engaging with this vibrant professional community. Warm regards, Aswith #opentowork #opportunities #career #hiring #recruitment #AWS #azurecloud #dataengineer #dataanalyst #bigdataengineer #cloudengineer #python #sqlserver #jobsusa #c2crequirement #jobalert #usajobs #contractjobs #itrecruiters #recruiters #technicalrecruiter #c2c #c2cOppurtunities #c2cjobs #c2crequirements #corptocorp #corp2corp #corp2hire #corptohire #c2h #oppurtunities #c2cvendor #c2cusajobs #c2cconsultant #c2croles #ITRecruiter #TechRecruiter #Hiring #TechJobs #JobOpportunities #ITJobs #Recruitment #TechTalent #ITIndustry #JobSeekers #TechCareer #ITNetworking #JobSearch #TechHiring #Recruiting #DataEngineer #BigData #ETL #DataProcessing #DataWarehousing #DataPipeline #ApacheSpark #Hadoop #Python #Scala #SQL #DataIntegration #DataModeling #DataArchitecture #StreamingAnalytics #BatchProcessing #DataWarehouse #ETLJobs #DataEngineeringJobs

THIS IS FOR #W2 NOT FOR #C2C Job Title: Senior Data Engineer Location: [Specify Location] Experience: 8+ Years Job Description: We are looking for a seasoned Senior Data Engineer with over 8 years of experience to lead and drive our data engineering initiatives. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining robust data infrastructure while providing technical leadership to the data engineering team. If you have a proven track record of successfully delivering complex data solutions and are passionate about driving innovation in the data space, we encourage you to apply. Responsibilities: Data Architecture and Design: Lead the design and implementation of scalable and efficient data models. Provide expertise in designing and evolving data architecture to meet current and future business needs. Data Integration and ETL: Architect and implement data integration solutions to unify data from diverse sources. Oversee the development of ETL processes to ensure seamless and accurate data flow. Leadership and Mentoring: Provide technical leadership and mentorship to junior data engineers. Collaborate with cross-functional teams and guide them on best practices in data engineering. Optimization and Performance: Big Data Technologies: Leverage expertise in big data technologies, such as Hadoop and Spark, to solve complex data challenges. Stay current with industry trends and incorporate new technologies to improve data solutions. Cloud Platform Expertise: Demonstrate proficiency in cloud platforms (e.g., AWS, Azure, GCP) and utilize cloud services for scalable and flexible data solutions. Data Governance and Compliance: Implement and enforce data governance policies and ensure compliance with data regulations. Work closely with stakeholders to address data quality and security concerns. Collaboration and Communication: Collaborate with cross-functional teams, data scientists, and analysts to understand data requirements. Communicate effectively with both technical and non-technical stakeholders. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. 8+ years of hands-on experience in data engineering roles. Strong expertise in SQL, database management systems, and data modeling. Proficient in programming languages such as Python, Java, or Scala. Experience with big data technologies (Hadoop, Spark) and related ecosystems. In-depth knowledge of ETL tools and processes. Demonstrated leadership and mentoring skills. Familiarity with cloud-based data solutions and services. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. #DataEngineer #BigData #DataInfrastructure #DataArchitecture #ETL #DataModeling #SQL #DataIntegration #DataPipeline #DataWarehouse #CloudComputing #AWS #Azure #GCP #Hadoop #Spark #Python #Java #Scala

Hello Linkedin family, Hope every one is doing good, #dataengineer #immediatejoiners #dataengineerjobs #newjerseyjobs #texasjobs #delawarejobs #w2jobs #fulltime #usajobs #immediate #requirements #locals #localcandidates Please go through the below opportunity open for Data Engineer at NJ, TX, and DE for Long term Contract opportunity, this position requires only W2 (USC, GC or GCEAD) Looking for Locals Candidates, let me know if any of you interested in the below Job opportunity share me there profiles to Viraj@ntc-us.com.   Position: Senior Data Engineer Location: Jersey city, NJ (first preference) Other is Plano, TX and Wilmington, DE (only local candidate) Duration: Contract opportunity   Job Description:   About Project: Any 3 days in office is must should be local to (NJ, TX or DE only) Liquidity Risk Reporting - fulfill Fed obligation - daily reporting Stress Scenario report - generate report based on multiple scenarios then generate into Living Will of the firm - critical report. Deliverables in June and September Infra is on-prem Hadoop - this will be delivered on AWS. Must have: Spark, Scala, Java, AWS (EMR) Nice to have: Python, S3 EC2, EKS, Hadoop, Impala, Hive, Airflow Domain knowledge a plus Data set size is 500m-1b rows per batch. Interviews - 2 rounds focused on technical - Scala, Spark, write code, answer design questions.   Job Responsibilities: Developed and maintained end-to-end data pipelines using Python, Scala, and Spark for processing and analysing large volumes of data related to Market Analysis, Fraud Detection, Customer Segmentation, and Data Security and Privacy. Implemented Hadoop, HBase, and Hive for scalable and optimized data storage and retrieval, enabling efficient handling and analysis of data. Collaborated with cross-functional teams, including data scientists, software engineers, and business stakeholders, to gather requirements and deliver high-impact machine learning solutions in batch processing environments. Researched and adopted cutting-edge data engineering and machine learning technologies to stay abreast of industry trends and continuously improve the performance of batch processing systems. Utilized version control and automated testing practices to maintain the integrity and reproducibility of the batch-processing pipelines in collaboration with the data science team. Utilized AWS services, such as S3, EMR, and EC2, to build robust and scalable big data solutions, ensuring high availability and data processing capabilities. Engineered data transformation processes, including feature engineering and dimensionality reduction techniques, to optimize data representation for machine learning algorithms. Managed data ingestion and extraction processes using Sqoop, Flume, and Kafka, enabling seamless integration with various data sources and real-time data streaming.

Greetings, LinkedIn Community! I hope this message finds you thriving and in good spirits. I'm a seasoned Data Engineer with a rich tapestry of over a decade's worth of experience in the field. My journey in the realm of data engineering has been marked by a deep dive into AWS Data Engineer, Big Data technologies, Data Warehouse, where I've navigated and conquered challenges with AWS, Azure, and GCP at the forefront. My forte lies in architecting robust data pipelines and orchestrating seamless data migrations to cloud environments. Across industries spanning healthcare, insurance, and banking, I've had the privilege of leaving my mark through significant contributions. Currently, I'm on the lookout for new opportunities in Data Engineering on a C2C/C2H basis. If your organization is on the lookout for a professional to drive data initiatives forward, or if you simply have valuable insights to share, I'd love to connect and explore synergies. Feel free to reach out to me at nadigatlauday@gmail.com. Your time and consideration are greatly appreciated, and I eagerly anticipate engaging with this vibrant professional community. Warm regards, Uday Surya #opentowork #opportunities #career #hiring #recruitment #AWS #azurecloud #dataengineer #dataanalyst #bigdataengineer #cloudengineer #python #sqlserver #jobsusa #c2crequirement #jobalert #usajobs #contractjobs #itrecruiters #recruiter #technicalrecruiter #c2c #c2cOppurtunities #c2cjobs #corptocorp #corp2corp #corp2hire #corptohire #c2h #oppurtunities #c2cvendor #c2cusajobs #c2cconsultant #c2croles #ITRecruiter #TechRecruiter #Hiring #TechJobs #JobOpportunities #ITJobs #Recruitment #TechTalent #ITIndustry #JobSeekers #TechCareer #ITNetworking #JobSearch #TechHiring #Recruiting #DataEngineer #BigData #ETL #DataProcessing #DataWarehousing #DataPipeline #ApacheSpark #Hadoop #Python #Scala #SQL #DataIntegration #DataModeling #DataArchitecture #StreamingAnalytics #BatchProcessing #DataWarehouse #ETLJobs #DataEngineeringJobs