Job Description

Bachelor s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.

Minimum 3-5 years of relevant work experience in data engineering, with experience in data modeling and analytics.

Strong technical foundation in Python, SQL, Spark/Pyspark and experience with cloud platforms (for example, AWS, Azure,).

Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.

Experience working with analytics teams and understanding of analytics workflows, metrics development, and business intelligence requirements

Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).

Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.

Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.

Experience with Databricks platform.

Experience with CDP platforms like HighTouch.

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