We're Hiring: Senior Data Engineer 5+ Years
8 hours ago
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
Remote Option: Can be considered for exceptional candidates
Work Type: Full-time Contract (6 Months – Likely to Extend)
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
5+ years of hands-on
Data Engineering experience
Strong proficiency in
Python, SQL,
and
APIs
Databricks (critical skill)
Spark
(data transformations & ETL)
AWS
(data engineering & ML services)
Experience with
MLOps tools
(MLflow, SageMaker, or equivalent)
Strong experience in
KPI design & implementation
for data systems
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
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:
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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