Data Engineer (Contract)

Position:

Work mode:

Experience:

Package:

Key Responsibilities

• Design, develop, and maintain clean, reusable Python code with best practices.
• Build and optimize scalable data pipelines and services using Databricks, Apache Spark, and Azure.
• Contribute to the design, implementation, and improvement of CI/CD pipelines.
• Collaborate closely with stakeholders, QA, DataOps, and Infrastructure teams across the software development lifecycle.
• Troubleshoot, debug, and enhance application performance.
• Ensure compliance with client-specific coding standards, testing practices, and documentation.
• Drive continuous improvement, innovation, and automation in an Agile, globally distributed team environment.

Required Technical Skills (3–4 years)

• Strong proficiency in Python (including Pandas).
• Hands-on experience with Databricks and Apache Spark.
• Solid understanding of Azure services (Pipelines, AKS, Service Bus, Key Vaults, Monitoring).
• Background in data engineering and service-oriented development.

Nice-to-Have Skills

• Exposure to cloud platforms such as AWS or GCP.
• Familiarity with Kubernetes (AKS).
• Experience with Airflow, DBT, Power BI, and Parquet.
• Basic knowledge of React.

Soft Skills

• Independent and ownership-driven, with a strong focus on delivery.
• Excellent communication skills, effective in cross-cultural and global team environments.
• Analytical thinker with strong problem-solving and decision-making abilities.
• Experience with unit, integration, and regression testing.
• Proactive, innovative, and committed to continuous learning and knowledge sharing.