Data Engineer

Job Description

Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines for processing large volumes of data.
• Build and optimize scalable data pipelines to support analytics and business reporting requirements.
• Integrate data from multiple sources, ensuring data quality, consistency, and reliability.
• Develop and maintain data models, data warehouses, and data lakes.
• Monitor, troubleshoot, and enhance the performance of existing ETL jobs and data workflows.
• Collaborate with data analysts, business stakeholders, and engineering teams to understand data requirements.
• Implement data governance, security, and best practices across the data ecosystem.
• Create and maintain technical documentation for data pipelines and processes.

Required Skills

• 4+ years of experience as a Data Engineer or in a similar role.
• Strong experience with ETL tools and frameworks.
• Proficiency in SQL and database technologies (e.g., MySQL, PostgreSQL, SQL Server, Oracle).
• Hands-on experience in building and managing data pipelines.
• Experience with Python, PySpark, or other data processing technologies.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with workflow orchestration tools such as Airflow.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with big data technologies such as Spark, Hadoop, or Kafka.
• Exposure to modern data platforms like Snowflake, Databricks, or Redshift.
• Understanding of CI/CD practices and version control systems (Git).

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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