Senior Data Engineer

Sampoorna Consultants • Python • SQL • 3 days ago
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Salary
≈ $23k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Sep 30, 2026.

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Sampoorna Consultants

Sampoorna Consultants is an IT recruitment firm headquartered in Mumbai that places IT, ITES and telecom professionals through its Sampoorna Computer People permanent hiring division, Sampoorna Top Search executive search practice, startup services and ICT contract staffing. Established in 1990 by the late Satish Doshi, it holds ISO 9001:2015 certification, is a founder member of the Executive Recruiters Association and has offices in Mumbai, Bengaluru, Chennai, Hyderabad, Delhi NCR and Pune. Its listings are mostly client vacancies such as Java, .NET and data engineers, SAP consultants and technical project managers, plus in-house recruiter and trainee roles.
sampoorna.com • HQ: Mumbai, India • Recruiting & Staffing • 51-200 employees • Est. 1990
  • Job Description:
  • We are looking for a highly skilled Senior Data Engineer to join the Data Science team and help build scalable, reliable, and production-grade data infrastructure that powers machine learning models, experimentation, and operational decision-making.
  • Key Responsibilities:
  • Design, develop, and maintain scalable DBT models that produce reliable datasets, features, and business metrics.
  • Build and optimize Databricks / PySpark pipelines to process large-scale operational and analytical data.
  • Develop production-ready workflows using Airflow and Prefect with strong SLA adherence.
  • Create and maintain Delta/Iceberg tables and lakehouse data architectures.
  • Partner closely with Data Scientists and ML Engineers to productionize feature engineering pipelines.
  • Improve performance, scalability, and cost efficiency of Spark and DBT workloads.
  • Implement strong data quality, testing, documentation, and monitoring practices.
  • Participate in peer code reviews and contribute to engineering best practices.
  • Required Skills:
  • Strong hands-on experience in SQL, DBT, Databricks, PySpark, and Airflow.
  • Experience working with distributed data systems and large-scale data processing.
  • Good understanding of data modeling, orchestration, and pipeline optimization.
  • Experience with Infrastructure-as-Code tools such as Terraform, AWS CDK, or Pulumi.
  • Familiarity with Delta Lake / Iceberg architectures.
  • Strong communication and collaboration skills.
  • Nice to Have:
  • Experience with Kinesis or other streaming systems.
  • Exposure to MLOps or ML/AI teams.
  • Experience working with globally distributed engineering teams.
  • Familiarity with AI-assisted engineering tools such as Cursor, Copilot, or Claude Code.
  • Please go through the meeting notes from our client meeting last night, with the hiring managers for the data engineer role.
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