Data Engineer

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.
Responsibilities:
Design, develop, and maintain ETL/ELT data pipelines.
Write optimised SQL queries, stored procedures, and database objects.
Develop Python scripts for data extraction, transformation, and automation.
Work in Linux environments to manage scripts, cron jobs, and system processes.
Monitor and troubleshoot data pipeline failures.
Ensure data integrity, consistency, and quality across systems.
Collaborate with data analysts, software engineers, and business stakeholders.
Optimise database performance and query execution.
Participate in code reviews and follow best engineering practices.
Requirements:
Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimisation).
Good programming experience in Python.
Hands-on experience with Linux commands and shell scripting.
Understanding of ETL/ELT concepts and data warehousing.
Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
Familiarity with Git for version control.
Strong problem-solving and analytical skills.

Experience
5-8 yrs