Sr Data Engineer

Responsibilities:

• Lead ETL development projects and coordinate with cross-functional teams to ensure project success.
• Create and maintain data integration solutions to meet business requirements.
• Identify and resolve data quality issues, performance bottlenecks, and other ETL-related problems.
• Evaluate modern technologies and tools, and recommend solutions to improve ETL processes and performance.
• Contribute to the architecture, design, and development of data warehousing and business intelligence solutions.
• Understands data mapping and data modeling methodologies including normal form, star, and snowflake to reduce data redundancy and improve data integrity.
• Participate in analysis, design, and ETL development as part of Agile development methodologies and provide status updates to the management.
• Maintains knowledge on current and emerging developments/trends for assigned area of responsibility, assesses the impact, and collaborates with Scrum Team and Leadership to incorporate current trends and developments in current and future solutions.

Key Skills:

• Knowledge of data warehousing and ETL processes.
• Programming languages.
• Java, Python, R, Scala.
• Big data, cloud computing and leadership skills.