Company Summary

First American (India) is a GCC (Global Capability Center) of the First American Financial Corporation (NYSE: FAF) family of companies. FAI is a proud member of the FORTUNE 500 companies and has been amongst the Fortune 100 Best Companies to Work For® list for eight consecutive years. First American Financial Corporation provides comprehensive title insurance, closing/settlement, property data and technology solutions. First American (India) creates quality solutions for its customers by combining software, back office, and knowledge processing operations to fulfill First American's business requirements. Our priorities are our employees, customers, and shareholders - in that order. First American (India) has been ranked amongst India's Best Companies To Work For™ 2023: Listed amongst the Top 100 by Great Place To Work® India, FAI is also certified Best Workplaces for Women and Workplace with Inclusive Practices. Software Services helps build First American's product suite that encompasses the best in class Title Insurance, Settlement and Mortgage solutions platforms. Leverages technology product stack across Microsoft platform predominantly to develop, enhance and maintain the best in class applications. The R & D division delivers solutions for the title insurance industry leveraging the best of NLP, AI and ML.

Job Summary

Job Description: Sr. Developer – ADF, SQL, Azure Synapse (8-10 years experience)

We are seeking a highly skilled and experienced senior member in team for development and management of ETL processes. The ideal candidate will have 8-10 years of experience in data engineering and ETL development. Hands on experience on Azure Data Factory (ADF), Synapse Pipelines, Azure Data Lake, SQL, PySpark, Synapse Spark Pools, Azure Data Lake Storage Gen2 (ADLS), Delta Lake, Azure Synapse Analytics (Dedicated SQL Pool, Serverless SQL), Data Vault. This role requires a strong technical background, hands-on expertise in ETL development, and the ability to drive business discussions and translate complex business logic into effective data solutions.

Key Responsibilities:

• Hands-on ETL Development & Reporting Implementation:
  • Actively participate in the development, design, and implementation of ETL workflows using Azure Data Factory (ADF), Synapse Pipelines, Azure Data Lake, SQL, PySpark, Synapse Spark Pools
  • Working knowledge on Azure Data Lake Storage Gen2 (ADLS), Delta Lake, Azure Synapse Analytics (Dedicated SQL Pool, Serverless SQL), Data Vault
  • Hands-on development of complex ETL pipelines, data transformation logic, and integration processes to ensure efficient data flow and high-volume data processing.
  • Implement strategies for efficient data extraction, transformation, and loading from source to destination systems, ensuring robust and scalable solutions.
  • Oversee the setup, configuration, and deployment of ETL systems to ensure optimal performance.
  • Monitor ETL workflows, troubleshoot issues, and optimize data processing to handle high-volume data efficiently.
  • Continuously review and refine ETL pipelines to enhance performance, scalability, and fault tolerance.
  • Excellent knowledge in creating stored procedure, views, function etc.
• Business Logic Identification & Implementation:
  • Work closely with business stakeholders , architects and team members to identify complex business logic and translate it into ETL processes, ensuring the accurate and effective transformation of data according to business requirements.
  • Design and implement business rules, data validation logic, and complex transformations within ETL workflows to ensure data integrity and alignment with business objectives.
• Quality Assurance & Documentation:
  • Ensure adherence to best practices for ETL design, coding standards, and data governance.
  • Oversee code reviews and testing of ETL solutions to maintain high-quality standards.
  • Document ETL designs, business logic, and workflow processes to ensure knowledge sharing and maintainability of systems.

Key Skills & Experience Required:

• Experience:
  • 8-10 years of experience in data engineering and ETL development. Hands on experience on Azure Data Factory (ADF), Synapse Pipelines, Azure Data Lake, T-SQL, PySpark, Synapse Spark Pools, Azure Data Lake Storage Gen2 (ADLS), Delta Lake, Azure Synapse Analytics (Dedicated SQL Pool, Serverless SQL), Data Vault
  • Proven experience in designing, developing, and deploying ETL workflows using Devops CICD pipelines and processes for high-volume, complex data environments.
  • Extensive hands-on experience with high-performance data processing and data integration strategies.
• Technical Skills:
  • Strong hands-on experience with Azure Data Factory (ADF) and Synapse pipeline setup, including building and managing pipelines for large-scale ETL processes with very good knowledge in Data warehousing
  • Advanced proficiency in SQL, including query optimization, complex data transformations, and working with large datasets.
  • Experience implementing complex business logic in ETL processes, including data validation, transformation, and enrichment.
  • Experience of cloud data storage solutions such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
  • Experience of ETL tools and technologies like Azure Synapse Analytics, PySpark, Synapse Spark Pools, SSIS (good to have)
  • Experience working on Azure Data Lake Storage Gen2 (ADLS), Delta Lake
  • Experience with performance tuning, troubleshooting, and optimizing ETL pipelines to manage high-volume data.
  • Excellent knowledge in creating stored procedure, views, function etc.
• Soft Skills:
  • Excellent communication and interpersonal skills to drive business discussions and collaborate effectively with both technical and non-technical stakeholders.
  • Strong problem-solving ability, capable of tackling complex data engineering challenges and implementing efficient solutions.
  • Ability to handle multiple priorities, adapt to changing requirements, and meet deadlines.

FAI is committed to create an environment that respects, supports and inspires all individuals. We do not discriminate on the basis of color, religion, sex, gender identity, sexual orientation and age. At FAI, we celebrate diversity and believe that an inclusive workforce benefits employees, the organization and our community. We are an Equal Opportunity Employer. For more information about our company and dedication to putting People First, check out https://firstam.wd1.myworkdayjobs.com/faicareers.