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..

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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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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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

Region: Asia/Pacific
Country: India

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