Sr Data Engineer

Overview

Senior Data Engineer to drive development and implementation of a data strategy by designing, building, and optimizing data pipelines and platforms.

What you'll do

• Design, develop, and implement data pipelines and ETL/ELT processes.
• Build and deliver data integration solutions.
• Take ownership of pipeline projects from inception to deployment.
• Ensure data quality and integrity via testing and monitoring.
• Use cloud platforms (AWS preferred) to build scalable data solutions.
• Collaborate with data analysts, data scientists, and business stakeholders on data requirements.
• Identify and resolve complex data-related challenges.

What you'll need

• 8 to 13 years of experience.
• Hands-on experience with cloud platforms (AWS, Azure, GCP).
• Proficiency in Python, PySpark, and SQL.
• Hands-on experience with big data ETL performance tuning.
• Strong analytical and problem-solving skills.
• Effective communication and interpersonal skills for cross-functional collaboration.
• Bachelor’s degree in computer science and engineering (preferred).

Nice to have

• Experience with data modeling and performance tuning for OLAP and OLTP databases.
• Experience with Apache Spark and Apache Airflow.
• Experience with software engineering best practices (Git/Subversion, CI/CD like Jenkins/Maven, automated unit testing, DevOps).
• Professional certifications including AWS Certified Data Engineer, Databricks Certificate.

Details

• Mentor junior engineers.