Senior Data Engineer

Senior Data Engineer

Key Responsibilities:

• Lead the design, development, testing, and deployment of data solutions and pipelines.
• Collaborate with stakeholders to ensure technology solutions meet business requirements and optimize resource costs.
• Contribute to engineering standards, data modeling, and operational readiness.
• Provide technical leadership and mentorship to peers and junior engineers.
• Communicate project status and technical concepts clearly to both technical and non-technical audiences based in the U.S. and locally.
• Ensure effective change management and solution adoption through documentation, training, and knowledge transfer.
• Manage multiple priorities in a fast-paced, agile environment.
• Continuously improve processes, tools, and methodologies based on industry best practices.

• 5 to 7 years of experience in data engineering or related roles.
• Strong expertise in cloud development, particularly with AWS services such as Aurora PostgreSQL RDS, Redshift, S3, EC2, Lambda, SQS, and SNS.
• Hands-on experience with AWS Glue, Amazon Data Firehose, EMR, and Athena in high-volume environments.
• Expert in SQL and proficient in PySpark and Python.
• Deep understanding of data platform paradigms and software/data architecture.
• Understanding of data modeling principles and data warehousing techniques is essential.
• Proven ability to troubleshoot and resolve complex performance issues utilizing tools such as DataDog, CloudWatch, Splunk, dBeaver, and DataGrip
• Strong problem-solving, communication, and time management skills.
• Experience working in agile, multi-project environments.

Preferred Skills:

• Working knowledge of Apache Iceberg, AWS Lake Formation and AWS DataZone.
• Experience with CI/CD pipelines and DevOps practices.
• Familiarity with data governance frameworks, security, and compliance standards.