Description

You will design, build, and maintain data infrastructure to support data processing and transformation.

Responsibilities

• Scope, estimate, plan, design, develop, and support data projects.
• Design, configure, deploy, and maintain custom ETL infrastructure.
• Develop and maintain ETL pipelines for data processing and loading into large data domains.
• Collaborate with business analysts to define and prioritize user requirements.
• Develop, test, and implement application code following SDLC standards.

Required Skills

• 5+ years of proven experience in data engineering and ETL development.
• Hands-on expertise in Python and PySpark.
• Proficiency with relational databases: Postgres, SQL Server, Oracle, Sybase.
• Strong SQL programming skills (performance tuning, stored procedures, views, triggers).
• Experience with data processing tools including Kafka.
• Knowledge of CI/CD tools like Bitbucket, GitHub, and Jenkins.
• Experience working within Agile/SCRUM methodologies.
• Familiarity with UNIX scripting and Oracle SQL/PL-SQL.
• Knowledge of Data Warehousing and Data Analytics principles.

Key Skills

Education

Any Gradute