or

Roles and Responsibilities

We are looking for 6+ years of hands-on experience in building and maintaining robust data pipelines, data enrichment
architecture.

• Proficient in building highly-performance analytical tools to utilize the data pipeline in providing

actionable insight into key business performance metrics.

• Expert level proficiency in SQL and Python.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka), scheduling tools (control-M,

Airflow).

• Experience using AWS services such as S3, Kinesis, Glue, Sagemaker
• Familiarity with MLOps processes such as data labeling, model deployment, datamodel feedback

loop, data drift.

• Excellent problem-solving and communication skills, including the ability to explain complex and

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions and implementation of next generation BI

solutions.

• Participate in code reviews to ensure code quality and distribute knowledge
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI

infrastructure.

• Provide thought leadership and mentor data engineers in information presentation and delivery.