Lead Data Engineer (contract based)

Swift Placements; Pune District; Hybrid; INR 2,400,000 - 3,600,000; Full time

Job summary

Swift Placements in Pune seeks a Tech Lead/Lead Data Engineer to steer the enterprise data platform using Snowflake, dbt, PySpark, and Python. You will drive architecture, ensure GxP-compliant delivery, and lead DataOps across teams.

Location Pune, 7–10 years of experience, cloud experience (AWS/Azure), and strong CI/CD, governance, and mentorship skills are expected for a 6-month contract with possible extension.

Qualifications

• Lead data engineering with a focus on scalable, secure platforms.
• GxP-compliant software delivery across Snowflake, dbt, PySpark and Python.
• Strong DevOps/DataOps practices and CI/CD leadership.

Responsibilities

• Define and enforce engineering standards and processes.
• Lead data pipelines, ingestion frameworks, and semantic models.
• Own DevOps/CI-CD, testing, deployment, and release management.
• Establish data quality frameworks and reusable patterns.
• Mentor engineers and collaborate with stakeholders.

Skills

Snowflake or Databricks

dbt

PySpark

Python

SQL

ETL/ELT

Cloud platforms (AWS or Azure)

CI/CD

Git

DataOps

Data quality

Data governance

GxP knowledge

Mentoring

Stakeholder management

Tools

Snowflake

Databricks

dbt

Python

Job description

Job Description: Tech Lead/Lead Data Engineer

1 Role Summary

Lead the engineering, delivery, and operational excellence of the enterprise data platform, defining engineering standards and best practices across Snowflake, dbt, Pyspark and Python. Ensure all data solutions are scalable, secure, reusable, GxP-compliant, and built using modern DevOps and DataOps practices.

2 Key Responsibilities

• Define and enforce engineering standards, coding practices, and GxP-compliant software development processes.
• Lead development of data pipelines, ingestion frameworks, reusable data products, and semantic models using Snowflake, dbt, and Python.
• Own DevOps and CI/CD, including Git workflows, automated testing, deployment, and release management.
• Implement DataOps capabilities including monitoring, observability, incident management, and cost optimisation.
• Establish data quality frameworks, data contracts, and reusable engineering patterns.
• Review code, mentor engineers, and provide technical leadership across internal teams and delivery partners.
• Collaborate with architects, product owners, and business stakeholders to deliver high-quality data solutions.

3 Skills & Experience

• Strong expertise in Snowflake(or Databricks), dbt, PySpark, Python, SQL, ETL/ELT, and cloud platforms (AWS or Azure).
• Experience with CI/CD, Git, DevOps, DataOps, data quality, and data governance.
• Good understanding of pharmaceutical domains, including Manufacturing, Supply Chain, Regulatory, and Quality.
• Knowledge of GxP, GAMP, ALCOA+, and regulated software delivery practices.
• Excellent problem-solving, communication, stakeholder management, and mentoring skills.

Location - Pune

Exp - 7-10 years

Duration - 6 Months