Senior Data Engineer - ETL/Python

TwinPacs • Recruiting & Staffing • Executive Search • 12-month contract • Python • Java • SQL • ETL/ELT • 3 months ago
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Salary
≈ $21k – $42k per year (Estimated)
Location
Hybrid (Mumbai, India)
Seniority
Senior · 7+ years exp

First seen by Alion on Jul 30, 2026.

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TwinPacs

TwinPacs is a recruitment firm offering talent mapping and C-suite and senior management search across Malaysia and India. Its vacancies are mostly technical roles in Bengaluru, Pune, Chennai and Hyderabad, such as verification engineers, test automation engineers and mainframe administrators. The company is based in Malaysia.
twinpacs.com • Bengaluru • Delhi • Pune • Hyderabad • Chennai • Recruiting & Staffing • Executive Search
Tech stack of TwinPacs

Job Description :


We're looking for experienced Data Engineers to join a high-impact Data & AI Practice, delivering scalable, production-grade data solutions for enterprise and regulated industry clients.

Senior Data Engineer | Databricks | AWS | Python | Spark | Mumbai (Hybrid) | Contract 12 Months |

Required Skills :

- 7+ years of hands-on Data Engineering experience.

- Recent production experience with Databricks.

- Strong programming expertise in: Python, Java, Apache Spark, Advanced SQL.

- Experience designing and developing enterprise-scale ETL/ELT pipelines.

- Strong understanding of distributed computing and scalable data architectures.

- Hands-on experience with AWS cloud services and cloud-native data platforms.

- Experience working with PostgreSQL, Amazon Aurora, or similar databases.

- Strong understanding of: Data Modeling, Data Quality Frameworks, Data Governance.

- Experience developing both batch and streaming data pipelines.

- Familiarity with CI/CD, monitoring, logging, and operational support of production data platforms.

- Experience contributing to technical architecture and design decisions.

- Strong stakeholder management and client interaction skills.

- Experience working on large enterprise data transformation initiatives.

- Immediate joiners will be given priority.

Skills

Data Engineering, SQL, Python, ETL, Spark, Data Pipeline, AWS, Azure Databricks

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