Senior Data Engineer

Job Title:

Location:

Experience:

Notice Period:

Salary:

Job Type:

Key Responsibilities

• Collaborate with business and technology stakeholders to understand current and future data requirements.
• Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis.
• Plan, design, and develop scalable data solutions, including

  data pipelines, data models, and applications

  for efficient and reliable workflows.
• Design, implement, and maintain data platforms such as

  data warehouses, data lakes, and lakehouses

  for structured and unstructured data.
• Develop and optimize analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation.
• Monitor and ensure optimum system performance while identifying opportunities for continuous improvement.

Required Skills

• BigQuery

  and

  Google Cloud Platform (GCP)

  (BigQuery, Dataflow, Dataproc, Data Fusion, Cloud SQL).

• Airflow

  ,

  PySpark

  ,

  Python

  , and

  API development

  .

• Terraform

  and

  Tekton

  for infrastructure as code and CI/CD automation.
• Strong knowledge of

  PostgreSQL

  and SQL optimization.

Preferred Skills

• Experience with large-scale data solutions in

  BigQuery, GCP, Airflow, Tekton, and Terraform

  .
• Strong background in building end-to-end pipelines and productionizing workflows.

Qualifications

• Education Required:

  Bachelor’s Degree in Computer Science, Information Technology, or related field.

• Education Preferred:

  Advanced degree in a relevant discipline (optional).