Description

What You'll Do:

• Design, develop, and maintain ETL/ELT workflows, data pipelines, and integration solutions for enterprise applications.
• Build, enhance, and support Data Lake and Data Warehouse platforms to enable reporting, analytics, and business intelligence initiatives.
• Perform source-to-target mapping, data transformation, cleansing, and validation to ensure data accuracy and consistency.
• Develop scalable cloud-based data engineering solutions using modern data integration technologies.
• Optimize ETL jobs, data processing workflows, and database performance to improve efficiency and reliability.
• Troubleshoot and resolve production issues related to data integration, transformation, and pipeline execution.
• Support enterprise data migration, modernization, and cloud adoption initiatives.
• Collaborate with business users, data analysts, architects, and development teams to gather requirements and deliver solutions.
• Implement and maintain data quality, governance, security, and compliance standards across data platforms.
• Participate in testing, deployment, release management, and production support activities.
• Enable enterprise-scale reporting, dashboarding, and advanced analytics capabilities through reliable data engineering solutions.
• Contribute to continuous improvement initiatives and adoption of best practices in data engineering and ETL development.

Expertise You'll Bring:

• 7 to 10 years of experience in Data Engineering, ETL Development, and Data Integration projects.
• Strong hands-on experience with ETL tools such as Informatica, Azure Data Factory (ADF), Databricks, SSIS, or similar technologies.
• Excellent SQL programming skills with strong experience in database design, development, and query optimization.
• Experience working with databases such as Snowflake, SQL Server, Oracle, PostgreSQL, BigQuery, or equivalent platforms.
• Strong understanding of Data Lake, Data Warehouse, Data Modeling, and data architecture concepts.
• Experience with cloud platforms including Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Solid understanding of OLTP systems, dimensional modeling, and enterprise data management principles.
• Experience with source control, CI/CD pipelines, Git, and DevOps practices.
• Knowledge of data governance, security frameworks, and regulatory compliance requirements.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Excellent communication and stakeholder management skills with the ability to work in cross-functional teams.
• Mandatory experience in the BFSI or Insurance domain, with exposure to regulatory reporting and enterprise data platforms

Key Skills

Education

Any Graduate