🚀 We’re Hiring: Senior Data Engineer with MLOps

23 hours ago

New Delhi, India Strive4X Infotech Private Limited Full time

🚀 We’re Hiring: Senior Data Engineer (Hands-On Role | Contract | Immediate Joiners Preferred| Multi-Loc in India)


📍 Location: Hybrid – Offices in Hyderabad, Chandigarh, Noida, Gurgaon, Bangalore, Chennai, Pune

đź’» Remote Option: Can be considered for exceptional candidates

⏰ Work Type: Full-time Contract (6 Months – Likely to Extend)

đź“… Notice Period: Immediate to Max 20 Days

🧑‍💻 Experience Required: 5+ Years


About the Role

We are seeking a hands-on Senior Data Engineer with strong expertise in Databricks, Spark, AWS, and MLOps for a 6-month contract role (extendable). The candidate will design and implement scalable data pipelines, productionize ML workflows, and ensure system observability. This is a coding-heavy, execution-focused role best suited for professionals who can contribute from day one.


Key Responsibilities

  • Build and optimize data pipelines using Databricks and Spark.
  • Implement MLOps best practices (CI/CD, MLflow/SageMaker, monitoring, retraining).
  • Develop and manage cloud-native solutions on AWS.
  • Design and monitor KPIs for data systems.
  • Apply data observability practices to ensure reliability and performance.
  • Work closely with data scientists, DevOps, and business teams.


Must-Have Skills

âś… 5+ years of hands-on Data Engineering experience

âś… Strong proficiency in Python, SQL, and APIs

âś… Databricks (critical skill)

âś… Spark (data transformations & ETL)

âś… AWS (data engineering & ML services)

âś… Experience with MLOps tools (MLflow, SageMaker, or equivalent)

âś… Strong experience in KPI design & implementation for data systems

âś… Familiarity with data observability platforms


Nice-to-Have Skills

  • Airflow (workflow orchestration)
  • Jenkins (CI/CD)
  • Containerization (Docker, Kubernetes)
  • Terraform (IaC)
  • Monitoring tools (Grafana / ELK Stack)
  • Knowledge of lakehouse architecture

What We Offer

  • Contract role (6 months, extendable) with high-impact projects
  • Hybrid-first work model (remote option possible for strong candidates)
  • Opportunity to work in cutting-edge cloud & AI/ML environments


đź“© How to Apply

If you are interested and meet the above criteria, please share your updated CV with the subject line:

“Application – Senior Data Engineer – Contract – [Your Name] – [Notice Period]”

📧 Send applications to: career@strive4x.net

Please include the following details in your email:

  • Full Name
  • Total Experience
  • Relevant Experience in Databricks, Spark, AWS, MLOps
  • Current Company & Location
  • Current CTC & Expected CTC (Contract)
  • Notice Period (only ≤20 days accepted)
  • Preferred Work Mode (Hybrid Location / Remote)


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