11,050 data warehouse engineer jobs in India.

... MumbaiRole Overview : As a Senior Data Engineer, you will own the end-to-end data platform, from raw data ingestion through transformation to trusted, business-ready datasets. You will be responsible for designing, building, and maintaining scalable, reliable, and high-quality data pipelines that power analytics and decision-making ...

... MumbaiRole Overview : As a Senior Data Engineer, you will own the end-to-end data platform, from raw data ingestion through transformation to trusted, business-ready datasets. You will be responsible for designing, building, and maintaining scalable, reliable, and high-quality data pipelines that power analytics and decision-making ...

... turn data into decisions through modern data platforms, BI and reporting, and applied https://jobeax.com/link/jehrzqgzRuScFUrx Overview :We are looking for a Data Engineer with hands-on Azure Synapse Analytics experience to design, build and optimize data pipelines and warehouse solutions for client analytics and BI projects. ...

... ETL/ELT pipelines to ingest transform and load data from diverse sources (databases APIs streaming platforms third-party systems). - Develop and maintain data warehouse/data lake architectures ensuring data quality consistency and reliability - Collaborate with data scientists analysts and product teams to understand data ...

... pipelines to ingest, transform, and load data from diverse sources (databases, APIs, streaming platforms, third-party systems). - Develop and maintain data warehouse/data lake architectures, ensuring data quality, consistency, and reliability - Collaborate with data scientists, analysts, and product teams to understand data requirements ...

... troubleshooting capability Extensive experience with ETL concepts & technologies, Data migration testing, Data warehouse testing, and BI Reporting Extensive experience in data automation using Python High level of Proficiency in writing complex SQL queries in Azure Databricks from Business requirements to read data from source DB hosted ...

... data engineer on our greenfield data platform and key contributor to its success. - Embed AI in all phases of data lifecycle. - Design, develop and own robust data pipelines, ensuring optimal performance, scalability, and maintainability. - Design and implement Data Lake, Dare Warehouse and Lakehouse solutions with different ...

... well-modeled warehouse foundations and marts, and reusable ingestion (inbound) and consumption (outbound) patterns. - Provide technical leadership to a group of 5-6 engineers and data engineers — leading design reviews, setting engineering standards, and driving knowledge sharing and documentation. Your Expertise Our stack today: ...

... Design incremental models and snapshot strategies (non-CDC) · Perform code reviews and ensure consistency across SWP and IMS · Optimize dbt performance and warehouse execution · Guide Data Engineers on best practices and reusable patterns Required Skills & Experience · 5–7+ years SQL-based transformation experience · 3+ ...

... data testing or quality assurance. - Experience testing cloud data platforms, ETL pipelines, data integrations or analytics solutions. - Strong SQL skills for data validation, reconciliation and backend testing. - Understanding of Microsoft Fabric components, including pipelines, Lakehouse, Warehouse and Power BI. - Experience ...

... data controls. - Proficiency in Python or Java for integration automation and data engineering activities. - Experience with APIs microservices and enterprise data integration technologies. - Hands-on experience integrating MDM solutions with ERP CRM Data Warehouse Data Lake and downstream applications. - Experience working ...

... compute cost as a first-class engineering metric across Spark, orchestration, and the serving tier. What we are looking for - 15+ years building production grade data engineering systems, with a minimum of 5 years in a staff or principal scope. - Deep Spark and Databricks expertise at multi-terabyte scale, including the operational ...

... migrations). • Experience using AI tools for development. WHAT YOU WILL DO • Work embedded within the data engineering function, partnering closely with the data platform team to support a large-scale data platform modernization effort. • Execute the migration of approximately 1,000 datasets to Snowflake. • Adapt existing ...

... you’ll need to succeed - Minimum 3 years of experience in data quality or data engineering. - Proficiency in SQL and Python, with experience in dbt and automated data validation tools (e.g. Great Expectations, Soda). - Experience monitoring data quality in MPP cloud data warehouses (e.g. Google BigQuery, Snowflake), profiling, ...

... production data engineering support. The primary responsibility of this role is to develop, maintain, monitor, troubleshoot, and optimize our existing Amazon redshift data warehouse and associated data integration workflows. The engineer will ensure the reliability performance accuracy and timely execution of scheduled data pipelines ...

... business requirements. 3. Design and optimize data warehouse architecture to support efficient storage and retrieval of large datasets. 4. Enable self-service data exploration capabilities for users to analyze and visualize data independently. 5. Develop reporting and analysis applications to generate insights from data ...

... Develop and optimize data transformation workflows using Azure Databricks, Apache Spark, PySpark, Python, and SQL. • Implement and support Microsoft Fabric data engineering solutions, including data ingestion, transformation, lakehouse development, and migration of legacy data pipelines. • Design and implement modern data lakehouse ...

... https://jobeax.com/link/qJHt5WugbDWc6yxl Responsibilities : 1. ETL Development & Data Engineering : - Design, develop, and maintain scalable ETL processes using Databricks PySpark.- Extract, transform, and load data from heterogeneous sources into Data Lake and Data Warehouse environments.- Optimize ETL workflows for performance, ...

... for automation, data transformation, and API-based data ingestion.- Work with Airflow DAGs to schedule and orchestrate data workflows efficiently.- Optimize data lake and data warehouse performance for scalability and reliability.- Integrate data pipelines with cloud platforms (AWS, Azure, or GCP) and various data storage ...

About the Role:We are looking for a Big Data Engineer to design, build, and operate large-scale data pipelines and analytical infrastructure that transform high-volume raw data into reliable, query-ready datasets for analytics, reporting, and data-driven https://jobeax.com/link/HouIpt6AtbK1KWOU data platform ingests and ...