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Senior Data Engineer, Upto $12k

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Summary

Design and maintain ETL/ELT data pipelines using Python and PySpark, develop lakehouse architectures, and deploy containerized solutions on Kubernetes to enable data-driven decision-making.

We are looking for an experienced Senior Data Engineer to join a Data & Analytics team and contribute to the development of scalable, enterprise-grade data platforms. This role will focus on designing and maintaining data pipelines, implementing modern lakehouse solutions, and enabling data-driven decision-making across the organization.

Key Responsibilities

  • Design, build, and maintain ETL/ELT data pipelines using Python and PySpark.
  • Develop and manage lakehouse/data lake architectures, including data modeling, partitioning, and metadata management.
  • Deploy and support containerized data solutions using Kubernetes and Docker.
  • Optimize SQL Server databases, data models, and query performance.
  • Implement CI/CD practices, automated testing, and monitoring for data platforms.
  • Ensure data governance, security, and compliance standards are met.
  • Collaborate with cross-functional teams to deliver trusted and scalable data solutions.
  • Provide technical guidance, perform code reviews, and support continuous improvement initiatives.

Requirements

  • At least 5 years of hands-on experience in data engineering, ETL/ELT development, or related fields.
  • Strong expertise in SQL Server, including performance tuning and optimization.
  • Advanced Python programming skills and experience with PySpark.
  • Experience with Kubernetes, Docker, and modern DevOps practices.
  • Knowledge of data modeling, lakehouse/data lake architectures, and Apache Iceberg.
  • Experience with workflow orchestration tools such as Apache Airflow.
  • Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra).
  • Understanding of data security, governance, and access control principles.
  • Strong analytical, problem-solving, and stakeholder management skills.
  • Degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.

Short listed candidates will be notified

EA Registration Number: R22106307

Business Registration Number: 200611680D. License Number: 10C5117

See also

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