774 Etl Pipelines Jobs - Page 3

Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow Experience on Spark/Hive/HDFS Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Data Engineer - Knows HR Knowledge , all other requirement from Functional Area given by UBER

Role Overview: Talent Worx is excited to offer you the opportunity to join as a Snowflake and Spark Developer, contributing to revolutionizing the data analytics landscape in collaboration with one of the Big 4 firms in India. Your role will involve shaping clients" success stories through the utilization of innovative technologies and frameworks, within a dynamic culture that prioritizes inclusion, collaboration, and exceptional performance. Join us to discover unparalleled career growth opportunities. Key Responsibilities: - Contribute directly to enhancing clients" competitive positioning and performance with innovative and sustainable solutions - Collaborate closely with teams and client...

Role Overview: You will be joining EY FABERNOVEL as a Data Product Owner Senior, specializing in data and AI projects. Your role will involve preparing, coordinating, and overseeing the implementation of projects from conception to delivery, focusing on innovative and data-driven solutions. You will play a central role in project orchestration and act as the primary point of contact between technical teams (Data engineers, Data scientists, Machine Learning Engineers, Software Engineers), business teams, and clients. Key Responsibilities: - Framing data/AI requirements: - Collecting requirements: Understanding and gathering clients" data analysis and visualization needs. - Facilitating design...

You are a strategic thinker passionate about driving solutions in Analytics. You have found the right team. As an Analytics Associate in the Finance team, you will spend each day defining, refining, and delivering set goals for the firm. **Job responsibilities:** - Demonstrate advanced programming skills in Python; write complex SQL code and automate processes to source, transform, and analyze data from multiple structured and unstructured sources. - Apply critical thinking and perform advanced analytics to solve complex, multi-faceted business problems using analytics and visualization platforms such as QlikSense, Tableau, and Alteryx. - Create and leverage analytical approaches to analyze ...

You will be joining LSEG (London Stock Exchange Group), a global financial markets infrastructure and data business that is dedicated to delivering excellent services to its customers. With a presence across 70 countries, LSEG employs 25,000 people globally and values diversity and inclusion in its workforce. As a Software Data Engineer at FTSE Russell, you will be involved in designing and developing scalable data pipelines using Python and Apache Spark. Your responsibilities will include orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3, applying modern software engineering practices, contributing to the development of a lakehouse architecture using Apac...

What We Expect Data Engineering & Pipeline Management Design, manage, monitor, and maintain data pipelines and ETL processes using PySpark, Azure DataBricks, SQL Server Studio and Azure Data Factory, Ensure data flows are reliable, scalable, and optimized for performance, Validate data processes through automated testing and monitoring, Continuous Integration, Deployment & Reliability Perform deployments using CI/CD pipelines in Azure DevOps, aligned with team practices, Ensure continuous availability, reliability, and scalability of connected systems, Support performance, uptime, disaster recovery, and capacity growth, Operational Support & Collaboration Serve as Level 3 support for digital...

As a Data Scientist at RBHU ETG Pvt. Ltd., you will play a crucial role in solving complex business problems through advanced analytics and machine learning techniques. Your responsibilities will include: - Analyzing large and diverse datasets to derive actionable insights for strategic decision-making. - Developing and implementing machine learning models such as classification, regression, and clustering with a focus on scalability and performance. - Conducting feature engineering, data cleaning, preprocessing, and exploratory data analysis. - Collaborating with cross-functional teams to understand business requirements and translate them into analytical and machine learning solutions. - B...

Role Overview: The Data Engineer is responsible for designing, building, and optimizing data systems that power analytics, reporting, and machine learning across the organization. The role involves developing scalable data models and ETL pipelines, ensuring data integrity, and enabling smarter analytics through BI tools like Looker. Key Responsibilities Data Modeling: Understand the data needs of the business and the key metrics used for analytics and reporting. Design and implement new ways to model the data to calculate these metrics in a more efficient and flexible way. ETL Pipeline Development: Develop and maintain ETL pipelines to update the tables which record these metrics for use in ...

Immd Joinee Python automation using Robot framework, AWS API Testing Java, C/C++, Python, Java script, HTML, CSS node.js, XML, and DB a must. Experience in data warehousing is a must Face to Face interview Required Candidate profile Immediate Joinee in Bangalore

Why Join Iris Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions Join Iris Software - one of the fastest-growing IT services companies - where you own and shape your success story . About Us At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportati...

The Oracle Cloud Infrastructure (OCI) Security and Compliance Platform Engineering organization presents a rare opportunity to contribute to the development of next-generation, AI-driven cybersecurity solutions at cloud scale. This effort centers on ingesting and processing massive volumes of telemetry and security event data across OCI, leveraging advanced techniques including generative AI (GenAI), large language models (LLMs), and machine learning (ML) to build intelligent detection, response, and mitigation systems. The goal is to deliver autonomous, adaptive security capabilities that protect OCI, Oracle, and our global customer base against evolving threat landscapes. Inviting you to b...

Job Opening: Informatica IDMC Developer. Job Location: Greater Noida & Pune (Onsite) Experience: 5 to 10 Years Company: Coforge Ltd. Send your CV to: Gaurav.2.Kumar@coforge.com WhatsApp for queries: 9667427662 (Gaurav Kumar) We at Coforge are hiring Informatica IDMC Developers! If you're passionate about data integration and cloud technologies, and have hands-on experience with Informatica Intelligent Data Management Cloud (IDMC/IICS), wed love to hear from you. Key Responsibilities: Design, develop, and maintain robust ETL pipelines using Informatica IDMC (IICS). Collaborate with data architects, analysts, and business stakeholders to gather and understand data requirements. Integrate data ...

The Data Engineering Consultant is responsible for designing, developing, and maintaining data systems and solutions that support analytics, reporting, and operational data needs. This includes building scalable data pipelines, ensuring data quality, and enabling business intelligence through robust engineering practices. Key Responsibilities Develop and maintain ETL/ELT pipelines using tools such as Talend, Informatica, or native cloud services. Collaborate with data analysts, scientists, and business stakeholders to understand data requirements. Ensure data quality, integrity, and consistency across systems. Optimize data workflows for performance and scalability. Implement data governance...

The Data Engineering Consultant is responsible for designing, developing, and maintaining data systems and solutions that support analytics, reporting, and operational data needs. This includes building scalable data pipelines, ensuring data quality, and enabling business intelligence through robust engineering practices. Key Responsibilities Develop and maintain ETL/ELT pipelines using tools such as Talend, Informatica, or native cloud services. Collaborate with data analysts, scientists, and business stakeholders to understand data requirements. Ensure data quality, integrity, and consistency across systems. Optimize data workflows for performance and scalability. Implement data governance...

We are looking for an experienced Senior Multi Cloud Tech Lead (Snowflake, DBT and SQL) The person should have proven hands-on experience in Snowflake, DBT and SQL. Azure and DBT is always an added advantage as Nestle is using DBT for Transformation. The overall experience of 7+ years in SQL and with minimum 3-5 years of experience in Snowflake. Experience with SnowFlake data warehouse Experience with Data Ingestion into SnowFlake such as Snowpipe and DBT DBT Development: Design, develop, and maintain DBT models, transformations, and SQL code to build efficient data pipelines for analytics and reporting. Good understanding of SnowFlake architecture and processing Hands-on experience in Snowf...

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key SkillsSQL,Python,data warehousing,etl,amazon redshift,bigquery,data engineering,AWS,machine learning,real-time data processing,Java,spring boot,microservices,spark,Kafka,Cassandra,Scala,NoSQL,mongodb,Redis,data architecture*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key Skillspython,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest...

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key SkillsData analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key SkillsPython,AWS Redshift,Google BigQuery,ETL pipelines,data warehousing,data architectures,SQL*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key SkillsETL pipelines,data warehouses,SQL,Python,AWS Redshift,Google BigQuery,ETL*

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills Data analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture*

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills - sql,python,data warehousing,etl,amazon redshift,Data Engineering.

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key Skillspython,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest...

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills ETL pipelines,data warehouses,SQL,Python,cloud data platforms,AWS Redshift,Google BigQuery,machine learning models,Data Engineering

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills ETL pipelines,data warehouses,SQL,Python,cloud data platforms,AWS Redshift,Google BigQuery,machine learning models,Data Engineering.