Senior Data Engineer

4 hours ago

Noida, Uttar Pradesh, India Tech Next Full time ₹ 8,00,000 - ₹ 18,00,000 per year

Job Description: Senior Data Engineer (AI/ML Focus)

Experience: 5+ Years

Job Type: Contractual

Locations: Noida, Bangalore, Pune, Chennai, Hyderabad (Hybrid)

Work Hours: 11 AM–9 PM IST OR 2 PM–11 PM IST

Role Overview:

We are seeking a Senior Data Engineer with strong expertise in Data Engineering, Cloud Platforms, AI/ML pipelines, and MLOps. The ideal candidate will design, build, and optimize scalable data pipelines, support end-to-end ML lifecycle, and collaborate closely with cross-functional engineering teams.

Mandatory Technical SkillsCore Data Engineering:

  • 5+ years of hands-on experience in Python, SQL, and distributed processing (Spark / PySpark).
  • Strong experience with cloud platforms: AWS / Azure / GCP.
  • Proven expertise in building & maintaining:
  • Data Pipelines (Batch + Streaming)
  • Data Lakes (S3 / ADLS / GCS)
  • Data Warehouses (Snowflake, Redshift, BigQuery, Synapse)
  • Workflow Orchestration: Airflow, ADF, Prefect, Step Functions

AI/ML Engineering

  • Experience supporting end-to-end ML lifecycle: training → deployment → monitoring.
  • Hands-on with ML frameworks: TensorFlow, PyTorch, Scikit-Learn.
  • Strong understanding of MLOps including:
  • Model versioning (MLflow, DVC)
  • Model deployment & CI/CD
  • Feature engineering & feature stores
  • Good to have:
  • Experience with vector databases, embeddings, LLM workflows

Additional Required Skills:

  • Familiarity with Docker, Kubernetes, Terraform, CloudFormation.
  • Strong understanding of APIs, Microservices, REST/GraphQL.
  • Excellent communication, problem-solving, and collaboration skills.

Preferred Qualifications:

  • Cloud Data Engineering Certifications (AWS/Azure/GCP).
  • Experience with GenAI, RAG pipelines, or LLM integrations.
  • Exposure to Power BI or Tableau.

Job Type: Contractual / Temporary

Contract length: 6 months

Pay: ₹70, ₹80,000.00 per month

Experience:

  • Data Engineer: 5 years (Required)

Work Location: In person

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