5,221 Full-time data warehouse engineer jobs in India.

... managing warehouse sizing, clustering, materializations, and query profiling. Governance & Security: Enforce data governance, compliance practices, RBAC, secure data sharing, and encryption strategies. Required Qualifications & Skills Experience: 5 to 8 years overall in data engineering, with 3+ years of mandatory hands-on ...

... agreements (SLAs), data contracts, query and warehouse tuning, and data quality checks to keep the platform reliable and cost-efficient. - Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners so data lands in the shape they need for downstream use. - Use AI coding agents such ...

About the jobRole Overview : We are seeking a Senior Snowflake Data Engineer to design, develop, and maintain scalable data platform solutions for the Pacific Data Platform. The role covers end-to-end data ingestion, transformation, data modeling, performance optimization, security, and data quality. The role also involves ...

... 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 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 ...

... 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 ...

... 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 ...

... models and pipelines for Data Lake and Data Warehouse - Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services - Manage a portfolio of data products that deliver high-quality, trustworthy data - Help onboard and support other engineers as they join the ...

We are seeking a hands-on Data Engineer to support a large-scale data platform modernization initiative. You will migrate approximately 1,000 datasets to Snowflake, adapt existing pipelines, and help deliver reliable orchestration with Apache Airflow 3. The architecture and technical approach are already defined, with the ...

... Systems Engineering or related field (Masters preferred) And 58 years of experience designing and developing enterprise-scale data solutions (data warehouses data lakes operational databases) Other: - Expert-level proficiency in Databricks Azure Fabric PySpark SQL and Azure DevOps. - Proven experience with Azure Data Factory ...

... work. Job Summary As a key member of the Data Team at Equinix, we are seeking a skilled GCP Data Engineer who will be responsible for end-to-end development of Data Engineering use cases, Equinix Data Lake platform and tools. You will design, build, and maintain scalable data infrastructure and analytics solutions on Google ...

Job description Job Title: Senior Data Engineer Microsoft BI Experience: 8 Years Location: Airoli Mumbai Industry Preference: Banking / Financial Services Job Summary We are seeking an experienced Senior Data Engineer Microsoft BI with strong expertise in the Microsoft Business Intelligence (MSBI) stack data warehousing ...

... individual-contributor Data Engineer to help build and operate Glean’s internal data platform. This is an internal-facing data platform role focused on analytics engineering for Glean’s internal teams and not customer-facing implementation. The role will focus on reliable, governed, cost-efficient data infrastructure and analytics ...

... 3 years of experience with data warehouse architectures, ETL/ELT processes, and reporting/analytics tools. - Experience in Python and/or Java development in data engineering contexts. - Familiarity with Big Data ecosystems including EMR, Hadoop, Databricks, Hive, and Pyspark. EY | Building a better working world EY exists ...

... knowledge, including pricing models, billing structures, and cost optimization mechanics. – Have data engineering depth: dbt, BigQuery (or an equivalent modern warehouse), SQL at scale, and data modeling for analytics (dimensional modeling, incremental models, testing). – Have data science fundamentals: statistical forecasting, ...

... frameworks and internal tools that make data easy to use. What you’ll do: - Design, build, and operate foundational data services, including storage (cloud warehouse, data lake), orchestration (Airflow), batch processing (Spark, SQL), and streaming (Kafka). - Build and maintain data integration and processing SDKs used ...