Data Engineer

• Data Engineering Tech Lead (7-10+ Years Experience) Role Overview.
• We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data engineering solutions across enterprise platforms.
• The ideal candidate will be responsible for architecting data pipelines, leading engineering teams, collaborating with business and cross-functional IT teams, and delivering high-quality data platforms, analytics, and reporting solutions., * Data Engineering & Architecture Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
• Build robust data ingestion frameworks for structured and unstructured data sources.
• Architect and implement data lakes, data warehouses, and data marts.
• Ensure high performance, scalability, and reliability of data systems Pipeline & Data Platform Development Develop and optimize batch and real-time data processing pipelines.
• Work with modern tools such as Airflow, AWS Glue, Azure Data Factory, PySpark, or equivalent Implement data validation, monitoring, and quality frameworks.
• Enable integration across upstream and downstream systems Database & Data Modeling Design and maintain SQL and NoSQL databases (e.g., MongoDB, relational systems).
• Develop complex SQL queries, stored procedures, and performance tuning strategies Implement data models (dimensional, star/snowflake schemas).
• Ensure data consistency, integrity, and governance Cloud & Data Ecosystem Design and manage cloud-based data platforms (AWS / Azure / Google Cloud Platform) Implement CI/CD pipelines for data engineering workflows.
• Ensure availability, scalability, and reliability of data environments Leadership & Technical Mentoring Lead and mentor a team of Data Engineers and Developers Guide best practices, coding standards, and performance optimization Conduct code reviews, design reviews, and technical decision-making.
• Foster a culture of continuous improvement and innovation.
• Agile Delivery & Stakeholder Collaboration Work within Scrum/Agile teams, participating in sprint planning, reviews, and retrospectives.
• Collaborate with Product Owners, Business Analysts, and Architects Work closely with cross-functional IT teams to deliver end-to-end data solutions.
• Translate business needs into technical data solutions and architecture designs Data Quality, Governance & Compliance Implement frameworks for data quality, validation, and monitoring.
• Ensure compliance with enterprise data governance and security standards Support regulatory and audit requirements where applicable.

• 7-10+ years of experience in Data Engineering / Data Platforms Strong expertise in: SQL and NoSQL databases (e.g., MongoDB) ETL/ELT pipelines and data integration.
• Data warehousing and data modeling concepts.
• Experience with big data and distributed systems (Spark, Hadoop, etc.) Hands-on experience with cloud platforms (AWS/Azure/Google Cloud Platform).
• Experience with workflow orchestration tools (Airflow, ADF, etc.) Strong knowledge of CI/CD and DevOps for data pipelines.
• Proven experience in leading and mentoring engineering teams.

Preferred Skills:

• Experience in Healthcare / Insurance / Data Analytics platforms.
• Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.).
• Experience in data governance and data quality frameworks.
• Familiarity with API integrations and microservices architecture.