Lead/Sr. ETL Engineer

We are looking for a skilled and experienced Lead/Senior ETL Engineer with 4–8 years of experience to join our data engineering team. In this role, you will be responsible for designing and developing high-performing ETL solutions, managing data pipelines, and ensuring seamless integration across systems. Youll also contribute to architectural decisions, lead delivery planning, and provide mentorship to team members. Your hands-on expertise in ETL tools, cloud platforms, and scripting will be key to building efficient, scalable, and reliable data solutions for enterprise-level implementations.

Key Skills

• Strong hands-on experience with ETL tools like SSIS, DataStage, Informatica, or Talend.
• Deep understanding of Data Warehousing concepts, including Data Marts, Star/Snowflake schemas, Fact & Dimension tables.
• Proficient in working with relational databases: SQL Server, Oracle, Teradata, DB2, or MySQL.
• Solid scripting/programming skills in Python.
• Hands-on experience with cloud platforms such as AWS or Azure.
• Knowledge of middleware architecture and enterprise data integration strategies.
• Familiarity with reporting/BI tools like Tableau and Power BI.
• Strong grasp of data modeling principles and performance optimization.
• Ability to write and review high and low-level design documents.
• Strong communication skills and experience working with cross-cultural, distributed teams.

• Design and develop ETL workflows and data integration strategies.
• Create and review high and low-level designs adhering to best practices.
• Collaborate with cross-functional teams to deliver enterprise-grade middleware solutions.
• Coach and mentor junior engineers to support skill development and performance.
• Ensure timely delivery, escalate issues proactively, and manage QA and validation processes.
• Participate in planning, estimations, and recruitment activities.
• Work on multiple projects simultaneously, ensuring quality and consistency in delivery.
• Experience in Sales and Marketing data domains.
• Exposure to reporting and analytics projects.
• Strong problem-solving abilities with a data-driven mindset.
• Ability to work independently and collaboratively in a fast-paced environment.
• Prior experience in global implementations and managing multi-location teams is a plus.