Lead ETL Data Engineer
Hyderabad, India
DATAECONOMY
Enabling Businesses to Monetize Data at Data Speeds with cutting edge Technology Services and Solutions. Big Data Management, Cloud enablement, Data Science, etc..We are seeking a Lead ETL Data Engineer to design, develop, and optimize data pipelines, ensuring smooth data integration across our platforms. This role will lead a team of ETL developers and work closely with data analysts, engineers, and business stakeholders to drive data solutions in a cloud environment.
Key Responsibilities:
✅ ETL Development & Data Pipeline Design
- Lead the design, development, and optimization of ETL processes using Talend (or similar ETL tools).
- Build, automate, and maintain scalable data pipelines for efficient data processing.
- Ensure data quality, consistency, and performance across ETL workflows.
✅ Database & Data Warehouse Management
- Work with relational and NoSQL databases, ensuring optimized SQL queries for performance.
- Implement data warehouse solutions (DWH) on AWS (Redshift, S3, Glue, RDS) or other cloud environments.
- Perform data modeling to support business intelligence and analytics.
✅ Leadership & Collaboration
- Guide and mentor a team of ETL developers and data engineers.
- Collaborate with data scientists, analysts, and business teams to understand data needs.
- Drive best practices in data governance, security, and compliance.
✅ Performance Optimization & Troubleshooting
- Monitor and troubleshoot ETL performance issues.
- Optimize database performance and ensure low-latency data processing.
- Automate error handling and data recovery strategies.
Requirements
Required Skills & Qualifications:
✔ 10+ years of experience in ETL development and data engineering.✔ Expertise in ETL tools like Talend, Informatica, or Apache NiFi.
✔ Strong proficiency in SQL and database optimization techniques.
✔ Hands-on experience with AWS cloud services (Redshift, Glue, Lambda, S3, RDS, etc.).
✔ Experience with big data technologies (Spark, Hadoop, or Kafka) is a plus.
✔ Solid understanding of data modeling, warehousing (DWH), and governance.
✔ Excellent problem-solving and communication skills.
✔ Experience in leading a team and driving technical best practices.
Benefits
As per company standards.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Business Intelligence Data governance Data pipelines Data quality Data warehouse Engineering ETL Hadoop Informatica Kafka Lambda NiFi NoSQL Pipelines Redshift Security Spark SQL Talend
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