Job Description

Must Have Technical/Functional Skills

AWS Data Engineering Services (EMR/Glue,Redshift,Aurora, S3, Lambda), Spark, Python, Collibra, Snowflake/Databricks, Tableau.

Roles & Responsibilities

Ingest and model data from APIs, files/SFTP, and relational sources; implement layered architectures (raw/clean/serving) using PySpark/SQL and dbt, Python.

Design and operate pipelines with Prefect (or Airflow), including scheduling, retries, parameterization, SLAs, and well documented runbooks.

Build on cloud data platforms, leveraging S3/ADLS/GCS for storage and a Spark platform (e.g., Databricks or equivalent) for compute; manage jobs, secrets, and access.

Publish governed data services and manage their lifecycle with Azure API Management (APIM) authentication/authorization, ...