
1001 - 5000 employees
Founded 1994
🛡️ Insurance
💼 Consulting
🏥 Healthcare
💰 $450M Post-IPO Debt - First American on 2024-09
Insurance • Consulting • Healthcare
First American (India) is a Global Capability Center (GCC) of First American Financial Corporation that provides software development, data & analytics, back-office, and knowledge-processing services to support title insurance, settlement services, mortgage solutions and related risk-management operations across the US, UK, Australia and Canada. With locations in Bangalore, Hyderabad and Salem, FAI delivers corporate IT and production services for its parent company and emphasizes a people-first culture recognized as a top workplace.
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1001 - 5000 employees
Founded 1994
🛡️ Insurance
💼 Consulting
🏥 Healthcare
💰 $450M Post-IPO Debt - First American on 2024-09
Insurance • Consulting • Healthcare
First American (India) is a Global Capability Center (GCC) of First American Financial Corporation that provides software development, data & analytics, back-office, and knowledge-processing services to support title insurance, settlement services, mortgage solutions and related risk-management operations across the US, UK, Australia and Canada. With locations in Bangalore, Hyderabad and Salem, FAI delivers corporate IT and production services for its parent company and emphasizes a people-first culture recognized as a top workplace.
• Develop, design, and implement ETL workflows using Azure Data Factory, Synapse Pipelines, Azure Data Lake, SQL, PySpark, and Synapse Spark Pools • Develop complex ETL pipelines, data transformation logic, and integration processes for high-volume data processing • Implement efficient data extraction, transformation, and loading strategies • Set up, configure, and deploy ETL systems for optimal performance • Monitor workflows, troubleshoot issues, and optimize data processing • Review and refine pipelines to improve performance, scalability, and fault tolerance • Collaborate with business stakeholders, architects, and team members to identify business logic and translate it into ETL processes • Design and implement business rules, data validation logic, and complex transformations • Ensure ETL design, coding standards, and data governance best practices • Oversee code reviews and testing of ETL solutions • Document ETL designs, business logic, and workflow processes
• 8–10 years of experience in data engineering and ETL development • Hands-on experience with Azure Data Factory (ADF), Synapse Pipelines, Azure Data Lake, T-SQL/SQL, PySpark, Synapse Spark Pools, Azure Data Lake Storage Gen2 (ADLS), Delta Lake, Azure Synapse Analytics, and Data Vault • Experience designing, developing, and deploying ETL workflows using DevOps CI/CD pipelines and processes • Experience with high-performance data processing and data integration strategies • Strong hands-on experience setting up Synapse pipelines and managing large-scale ETL processes • Very good knowledge of data warehousing • Advanced SQL proficiency, including query optimization, complex transformations, and large datasets • Experience implementing complex business logic, data validation, transformation, and enrichment in ETL processes • Experience with Azure SQL Database, Azure Data Lake, and Azure Blob Storage • Experience with ETL tools and technologies such as Azure Synapse Analytics, PySpark, Synapse Spark Pools, and SSIS (good to have) • Experience with ADLS Gen2 and Delta Lake • Experience tuning, troubleshooting, and optimizing high-volume ETL pipelines • Excellent knowledge of creating stored procedures, views, and functions • Excellent communication and interpersonal skills • Strong problem-solving ability • Ability to handle multiple priorities, adapt to changing requirements, and meet deadlines
• Remote work arrangement • Equal opportunity and inclusive workplace commitment
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