Responsibilities

Design, develop, and maintain robust ETL/ELT pipelines to ingest and transform data from various sources.
Build and manage scalable data infrastructure (e.g., data warehouses, data lakes).
Ensure data quality, integrity, security, and compliance across all pipelines and systems.
Collaborate with stakeholders to understand data requirements and support data-driven initiatives.
Optimize data workflows and processing for performance and cost efficiency.
Develop and maintain data models, schemas, and metadata.
Monitor and troubleshoot data issues in production environments.

Requirements

Diploma or Degree in Computer Science or Information technology or equivalent.
Proven experience (2+ years) as a Data Engineer or similar role.
Strong proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB).
Experience with data pipeline tools and frameworks (e.g., Apache Airflow, Spark, Kafka, dbt).
Proficiency in programming languages such as Python, Scala, or Java.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and cloud data services (e.g., Redshift, BigQuery, Snowflake).