Role Overview
As a Data COE Associate Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity.
What You Will Do
You will design and build scalable, secure, and cost-effective cloud-based data solutions, develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, and ensure efficient data processing of pipelines & data storage for optimal retrieval performance.
Why It Might Be a Fit
The role requires a desire to drive your future and accelerate your career, with experience and knowledge in using data analysis to make recommendations to analytic leaders, understanding best-in-class analytics practices, and knowledge of Indicators (KPI’s) and scorecards.
Requirements
- 2 to 4 years of experience in data engineering with good expertise in required tech stack
- Programming skills in Python, PySpark, SQL
- ETL & Integration skills in Databricks (LDP, Lakeflow Connect, Notebooks), AecorSoft/DataSphere
- Data Warehousing skills in SCD Types, Fact & Dimensions, Star Schema, ETL
- Data Modeling skills in Dimensional modelling understanding, Erwin tool (Optional)
- Medallion Architecture skills in Bronze, Silver, Gold (Databricks Medallion Architecture)
- AWS Cloud Services skills in S3, Lambda, EC2, Glue, Redshift
- GenAI exposure in Genie/Kiro/Gemini etc.
- Scheduling Technologies skills in Lakeflow Jobs, Airflow
- Visualization skills in PowerBI (Optional), GenBI (Optional)
Benefits
- Competitive salary
- Opportunities for career growth and development
- Collaborative and dynamic work environment
- Opportunities for professional development and training
- Recognition and rewards for outstanding performance
To apply for this job please visit wd3.myworkdaysite.com.
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