Description

Programming Languages: Proficient in SQL, Pyspark, Python · Data Pipeline & ETL: Proficiency in building ETL/ELT pipelines using tools like Apache Airflow, AWS EC2, EMR, S3, dbt, Azure Data factory · Database Management: Expertise in data warehousing solutions like Snowflake or Redshift, Databricks · Cloud Platforms: Working knowledge of cloud providers (AWS) is essential.

· Data Modeling: Designing efficient schemas (star/snowflake) for dimensional modelling and semantic models for Visualization tools · Data Governance & Security: Implementing data encryption, masking, and role- based access control.

· Problem-Solving & Troubleshooting: Identifying bottlenecks in data workflows and creating scalable, robust solutions.

· Collaboration: Working with data scientists and analysts to understand business needs and deliver actionable data.

· Version Control: Using tools like Git for managing code for data pipelines

Key Skills

Education

Bachelor's degree