Netfotech Solutions’ Post

#Hiring #Urgentopening #Gurgaon #Dataengineer Data Engineer - 3-5 Years Gurgaon Data engineers create and maintain an optimal data infrastructure. They combine raw information to create machine-readable formats. These are the major duties and responsibilities of a data engineer: Putting together large, intricate data sets to satisfy both functional and non-functional business needs. Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures. Building necessary infrastructure using AWS and SQL technologies. This will enable effective data extraction, transformation, and loading from a variety of data sources. Reformulating existing frameworks to maximise their functioning. Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition. Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties. Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs. Remaining up-to-date with developments in technology and industry norms can help you to produce higher-quality results CognoticAi Consulting CognoticAI LLC. ConsultonomicsIndia Manish Pathania Himanshu Bhandari MAIL us at aarunesh@cognoticai.com

Good Evening all Job Title: Senior Data Engineers (Scala)  Location: Location: WFH from India Job Type:  Permanent Notice: immediate – 30 days Exp :7-10 Email Id : aishwarya@vaakruthi.co.in Domain: Semicon 1x headcounts in 7-10 yrs band (Europe Time Zone) 1x headcount in 10+ yrs band (Flexible with Malaysia/Europe Time Zone) KEY RESPONSIBILITIES: ·         Understand the factories , manufacturing process , data availability and avenues for improvement ·         Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform. ·         Define what data is required to create a solution and work with connectivity engineers , users to collect the data ·         Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability ·         Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data ·         Deploy and monitor the solution ·         Work with data and analytics experts to strive for greater functionality in our data systems. ·         Work together with Data Architects and data modeling teams. SKILLS /COMPETENCIES ·         ·         Problem Scoping/definition Skills: Experience in problem scoping, solving, quantification Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores Ability to foresee and identify all right data required to solve the problem ·         Data Wrangling Skills: Strong skill in data mining, data wrangling techniques for creating the required analytical dataset ·         Programming Skills: Experience with big data tools: Spark, Delta,CDC,NiFi, Kafka, etc Experience with relational SQL, NoSQL databases and query languages, including oracle, Hive, sparkQL. Experience with object-oriented languages: Scala, Java, C++ etc. Visualization Skills Know how of any visualization tools such as PowerBI, Tableau Good storytelling skills to present the data in simple and meaningful manner Data Engineering Skills Please share me you cv to aishwarya@vaakruthi.co.in #datascientist #scala #Nosql #Powerbi #datasecurity #datascience #datasecuritystandards #data #dataanalysis #datasecuritytips #senior #publicdata #engineeringjobs #datasecuritybreach #dataanalytics #projectmanagers #engineering #senioryear #seniorclass #datavisualization #dataprivacy #seniorliving #cloudcomputingservices #riskmanagement #engineeringlife #itservicescompany #structuralengineering #techcompany #engineer

#Hello_connections! #Hiring_alert!!! #Hiring_for_below_mentioned_positions! Data Engineer Senior Data Engineer Lead Data Engineer Experience: 5+ years Location: Bangalore Interested Candidates can share the resume to sudipta@datamazeonline.in #Datapipelines #Datamodeling #Snowflake #SQLQueries #DataLakes #DataWarehouse #Azure #Python #APIDevelopment #FiveTran #Coding #Documenting #Testing

Good Evening all Job Title: Senior Data Engineers (Scala)  Location: Location: WFH from India Job Type:  Permanent Notice: immediate – 30 days Exp :7-10 Email Id : maniikhanta@gmail.com Domain: Semicon 1x headcounts in 7-10 yrs band (Europe Time Zone) 1x headcount in 10+ yrs band (Flexible with Malaysia/Europe Time Zone) KEY RESPONSIBILITIES: ·         Understand the factories , manufacturing process , data availability and avenues for improvement ·         Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform. ·         Define what data is required to create a solution and work with connectivity engineers , users to collect the data ·         Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability ·         Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data ·         Deploy and monitor the solution ·         Work with data and analytics experts to strive for greater functionality in our data systems. ·         Work together with Data Architects and data modeling teams. SKILLS /COMPETENCIES ·         ·         Problem Scoping/definition Skills: Experience in problem scoping, solving, quantification Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores Ability to foresee and identify all right data required to solve the problem ·         Data Wrangling Skills: Strong skill in data mining, data wrangling techniques for creating the required analytical dataset ·         Programming Skills: Experience with big data tools: Spark, Delta,CDC,NiFi, Kafka, etc Experience with relational SQL, NoSQL databases and query languages, including oracle, Hive, sparkQL. Experience with object-oriented languages: Scala, Java, C++ etc. Visualization Skills Know how of any visualization tools such as PowerBI, Tableau Good storytelling skills to present the data in simple and meaningful manner Data Engineering Skills Please share me you cv to maniikhanta@gmail.com #datascientist #scala #Nosql #Powerbi #datasecurity #datascience #datasecuritystandards #data #dataanalysis #datasecuritytips #senior #publicdata #engineeringjobs #datasecuritybreach #dataanalytics #projectmanagers #engineering #senioryear #seniorclass #datavisualization #dataprivacy #seniorliving #cloudcomputingservices #riskmanagement #engineeringlife #itservicescompany #structuralengineering #techcompany #engineer

#Hello_connections! #Hiring_allert!!! #Hiring_for_below_mentioned_positions! Data Engineer Senior Data Engineer Lead Data Engineer Experience: 5+ years Location: Bangalore Interested Candidates can share the resume to puja@datamazeonline.in #Datapipelines #Datamodeling #Snowflake #SQLQueries #DataLakes #DataWarehouse #Azure #Python #APIDevelopment #FiveTran #Coding #Documenting #Testing

Data Engineers are the backbone of any data-driven organization, ensuring seamless data flow and analysis. Here are the core tasks that define their pivotal role: 1️⃣ 𝐃𝐚𝐭𝐚 𝐌𝐢𝐧𝐢𝐧𝐠: Unearth valuable insights from raw data, transforming it into actionable intelligence that drives business decisions. 2️⃣ 𝐃𝐚𝐭𝐚 𝐂𝐥𝐞𝐚𝐧𝐢𝐧𝐠: Convert erroneous data into a usable form, ensuring accuracy and reliability for effective analysis. 3️⃣ 𝐐𝐮𝐞𝐫𝐲 𝐖𝐫𝐢𝐭𝐢𝐧𝐠: Craft precise queries to extract specific data, enabling targeted insights and informed decision-making. 4️⃣ 𝐌𝐚𝐢𝐧𝐭𝐞𝐧𝐚𝐧𝐜𝐞: Sustain data design and architecture, ensuring the integrity and efficiency of data systems. 5️⃣ 𝐄𝐓𝐋 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Build large data warehouses efficiently through Extract, Transform, Load (ETL) processes, facilitating robust data storage and access. By mastering these tasks, data engineers enable organizations to harness the full potential of their data, driving innovation and strategic growth. 𝐅𝐨𝐫 𝐦𝐨𝐫𝐞 𝐢𝐧𝐟𝐨, 𝐂𝐨𝐧𝐭𝐚𝐜𝐭: +91-8904229202 | support@wininlifeacademy.com 𝐕𝐢𝐬𝐢𝐭: www.wininlifeacademy.com #DataEngineering #DataScience #BigData #DataMining #ETL #TechCareers #Bangalore #Chennai #Hyderabad #CareerGrowth #TechJobs #DataAnalytics

Dear Connections, We are hiring for AD - Project Data Engineer Skills: GCP, Data Science, Data Modeling, ETL pipelines, Data Visualization Location: Bangalore Exp: 6 - 10yrs Mode of Work: Hybrid can share your resume at archana.k@hr-central.in #DataEngineer# #DataScience# #DataModeler# #GCP# #Bigquery# #ETLPipelines# #Datavisualizatiin#

Hi Everyone, we have an urgent requirement for Data scientist. Role: Data scientist. Experience: 3- 6 year Location: Bangalore Skills: Python,Data-Analytics,Data-Science Strong experience with statistical analysis. Proficient in programming languages such as Python and R. Experience with big data technologies such as Hadoop, Spark, ELK and NoSQL databases. Excellent communication and presentation skills. Ability to work independently and in a team environment. Experience with project management tools and methodologies (e.g. Agile, Scrum). Knowledge of data visualization tools and techniques (e.g. Tableau, PowerBI, ELK).  Extract, process, and analyze large data sets to develop insights and support decision making. Build and maintain predictive models and algorithms to support business objectives. Design and implement experiments to validate and refine models. Communicate insights and findings to stakeholders and make data-driven recommendations. Collaborate with cross-functional teams to identify and solve business problems. Stay up-to-date with the latest trends and technologies in data science and machine learning. #Dataanalyst #Datascience #ML #AI #Python #R #Bigdata #Hiring #Hiringimmediate #Urgertrequirement #datavisualization

Hi everyone, we’re on the lookout for a highly skilled Data Scientist to join our team. Location: Bangalore  Experience: 10 years Knowledge, Skills and Abilities Mandatory: Proven ability to deliver a data science project end-to-end including planning, data exploration, data processing, model development, evaluation, model deployment to production, and project presentation to stakeholders. Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering / random forest (desirable) and deep understanding of models eg. SVM, MRA, XGB Expertise in designing and implementing MLOps pipelines on cloud solutions. Expertise using popular MLOps Frameworks e.g. ML Ops using data bricks. Databricks – experience in development of notebooks using SQL, Python SQL Server (either on-prem or Azure SQL) and experience developing very complex stored procedures Proficient in Data analytics tools eg. Power BI, Tableau Experience with Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality. Experience with Data science models testing validation and tests automation. Awareness of continuous integration and delivery concepts/technologies. Drop a comment or send me a message with your resume. Know someone who'd be a great fit? Tag them or share this post with your network! #hiring #datascientist #MI #machinelearning #MLOps #SQL #predictivemodelling