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🔹Role - Technical Lead - Data Engineer 🔹Job Type - Full time, Permanent   🔹Qualification - BE or Btech 🔹Number Of Role - 12 🔹Location - Bangalore & Mumbai 🔹Package - 25 to 35 LPA 🔹Experience - 7 to 10 Years 🔹 Shift - UK Shift ➡️ Key Responsibilities - Data Architecture & Modeling: Design and maintain scalable, efficient data models and architectures to support data analytics, reporting, and ML model training. - Data Pipeline Engineering: Develop, maintain, and optimise scalable data pipelines that can handle large volumes and various types of data. - Data Quality Assurance: Implement rigorous data cleaning, transformation, and integration processes to ensure data quality and consistency. - Collaboration: Work closely with data scientists, ML engineers, and other stakeholders to understand data requirements and implement effective data solutions. - Documentation & Governance: Maintain comprehensive documentation of data procedures, systems, and architectures. Provide guidance and support for data governance practices, including metadata management, data lineage, and data cataloging. - ML Familiarity: Familiarity with machine learning concepts and tools. - Technical Skills:     * Strong proficiency in Python, with an emphasis on clean, modular, and well-documented code.     * Proficient in Spark (PySpark and SparkSQL).     * Expertise in SQL, JIRA, Git, and GitHub. - Good Communication Skills: Able to explain complex technical concepts clearly and concisely to both technical and non-technical audiences. ➡️ Good to have: - Azure Cloud Expertise: Hands-on experience with designing and implementing scalable and secure data processing pipelines using Azure cloud services and tools like Databricks or Azure Synapse Analytics. - Azure Data Management: Experience managing and optimizing data storage within Azure using services like Azure SQL Data Warehouse and Azure Cosmos DB. - ML Experience: Experience in deploying and maintaining ML models in production environments. 𝐀𝐩𝐩𝐥𝐲:👇 📩 hr@conceptmanagement.in #Dataengineering #bigdata #etl #softwaredevelopmentlifecycle #bitbucket #jira #Python #pytestframework #Pandas #Tableau #azure #Deeplearning #airflow #apache #git #talend #AWS #APIdevelopment #SQL #azurecloud #ukshift #bangalore #mumbai #pune #india

Share your resume to raja@teksoftsystems.com Immediate Hiring –  Data Science ML Engineer – Denver, CO (Onsite) – Any Visa Except CPT/OPT. Note : 1.    Previous Tech Mahindra Submitted profile not applicable. 2.    Experience we are looking for 9 to 10 Years Only. Job Description: Ø Assist in the development of descriptive, ML and NLP solutions predictive and prescriptive solutions Ø Assist in the re-training and re-mediation of data science models Ø Provide feedback on the performance of models that was re-trained or re-mediated Ø Hands on experience in R, Pandas and Python Ø Involved in developing analytic models and data quality reports Ø Extract, transform and organize the data into datasets, using tools like SQL, and validate the results by benchmarking them against historical data collected by the business users   #recruiting #hotlist #benchsales #vendorempanelment #recruiterjobs #jobopening #benchsalesrecruiter, #connections, #immediate, #benchsale #requirements #recruiting #jobsearch #jobsearch #hiring #recruiting #cv #jobseekers #corp2corp #C2C #staffing #C2C #C2Crequirement #SalesBench #salesRecruiter #Vendor #VendorList #OpenPosition #benchsales #hotlist #c2crequirements #carrer #usitstaffing #usajobs #c2cconsultats #c2cpositions #c2cusajobs #c2c #c2cvendors #c2hjobs #c2chotlist #c2cconsultats #c2crequirement #c2cconsultant #c2chiring #c2croles #c2crecruiters #c2creqs #c2cvendorlist #c2cgroups   #MachineLearning #ML #NLP #DataScience #ModelTraining #DataRemediation #Python #RProgramming #Pandas #DataAnalytics #DataQuality #SQL #ETL #PredictiveAnalytics #PrescriptiveAnalytics #DataValidation #Benchmarking #DataTransformation #TechJobs #DataScienceJobs

#Referral #Hiring MLOps Engineer Working from office @ Bangalore send your profile to hemang.parmar@quation.in Roles & Responsibilities • Project manage and own the completion of data analytics projects in a timely and accurate manner as part of the analytics implementation • Responsible for accurate deployment of analytics solutions in the form of  application or dashboards to clients in a timely manner • Capable of evaluating the business problem, and implementing the necessary analytical dashboards for retail and digital brands on the cloud • Understand the life cycle of all phases of data science starting from data  collection, data preparation, data modeling, evaluation and scaled deployment • Very comfortable in handling data at scale and deploy models with visualizations in production • Work with the customer success / category teams to identify usability challenges clients might face and solution for it effectively • Strong ability to simplify and communicate technical concepts to business  stakeholders Must Have Skills: • Python, NumPy, Pandas, Flask, API, distributed programming, web crawling • Cloud –AWS • Data Base – SQL, on the cloud • ETL : AWS Glue, AWS Athena, EC2, Docker • ML : Regression, Clustering, Time Series. Supervised and Unsupervised  techniques. • Domain knowledge of retail / ecommerce metrics • Strong visualization/analytics skills/data apps : AWS Quicksight / Stremalit Ideal Experience : • 3-5+ years of experience in project managing and deploying data visualization and analytics solutions on cloud • Good understanding of cloud concepts of AWS and data analytics services • Have built and deployed visualization dashboards on open source - AWS  Quicksight / Tableau / streamlit / PowerBI or have embedded in web-based  interfaces • Very comfortable in adhering to pre-defined architecture on AWS, working with different data sources, building ETLs, cleaning / transforming data and build data analytics solutions from scratch. • Experience in handling unstructured data • Good to have hands on experience in REST APIs, Docker, SQL • Has shown capability in picking up new technology, enabling a quick POC and shown feasibility of proposed solution #Hiring #MLOps #MachineLearning #Analytics

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Hiring alert: Tiger Analytics is hiring for the below positions: Data Scientist: 4 - 7 Years Location: Chennai, Bangalore, Hyderabad About the role : As a Data Scientist, you will be at the forefront of driving innovation through cutting-edge data analytics and machine learning applications across diverse industries. On a typical day, immerse yourself in the following: Analytical Translation: Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies. Problem Solving: While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital. Client Engagement: Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities. Algorithmic Expertise: Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges. Quantitative Mastery: Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making. Cross-Functional Collaboration: Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life. Desired Skills and Experience : 4 -7 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities. Good communication skills, both verbal and written. Exhibit a fervour for crafting modular, scalable, and bug-free Python code. Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint. Experience in production engineering best practices (e.g. Git versioning, Docker). Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark) Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP). Excitement to collaborate with diverse stakeholders across the organisation. In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods. Hunger to learn new technologies and embrace the change. Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations. Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role. #tigeranalytics #openpositions #jobalert #jobopening #datascientist

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#hiring Data Engineering Lead - X Delivery, Bangalore, India, fulltime #opentowork #jobs #jobseekers #careers #Bangalorejobs #Karnatakajobs #ITCommunications Apply: https://lnkd.in/g93-jE4E Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.What You'll Do YOU'RE GOOD AT Leading and Delivering Analysis: Leading data engineering initiatives by providing original analysis and insights to project teams. You will own and oversee analytics modules, ensuring seamless integration with case teams. Establishing Thought Leadership: Building credibility as a thought leader by partnering with case teams on complex analytics topics. You will draw insights and conclusions on a broad range of external and internal data engineering challenges. Communicating Insights: Effectively communicating analytical insights through sophisticated synthesis, packaging results in presentations, reports, and visualizations

Here is a brief and clear difference between Data Lake, Data Mart and Data Warehouse. All these are used to store historical data for analytical purposes. But what makes them different is the type of data that is stored. Data Warehouse is used to store all departments/sections structured historical data at one place. Data Mart is department/section SPECIFIC structured historical data. Data Lake is historical data storage of structured, semi-structured and unstructured data. So when we need to do analysis of data in Lake, we need to run transformation queries after storing in lake. If more points to add, kindly do in comments!! Ready to work! Share to hiring managers, HR, talent acquisition individuals. Any job profile as Data Analyst, Engineer, Data Scientist, Python developement, AI/ML Accenture in India Accenture Wipro HCLTech Infosys IBM DRDO, Centre for Airborne Systems STL - Sterlite Technologies Limited Samsung Electronics Citi State Bank of India JPMorganChase KPMG Australia @walmart