Find a jobRecruiters

Senior Data Engineer (Databricks, MLOps, AWS)

Exclusive opportunity

Onsite

Senior Data Engineer (Databricks, MLOps, AWS)

TymeX

Senior Data Engineer (Databricks, MLOps, AWS)

Skills

SQL QueriesPythonDatabricksGitAWSPySpark

4 days ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

16 October 2026

What they need


GoTymeX is building some of world's fastest growing digital banks and the data team plays a key role in driving the bank's vision of creating a platform that stimulates economic participation and facilitates broader financial inclusion by implementing creative best in class data and analytic solutions to achieve success in providing quality services and products to our customers and optimising the business.

As a Senior Data Engineer you will contribute to the mission by creating solutions that will directly support informed decision-making and innovation by providing clean, protected, quality and auditable data from various sources into fit for purpose data products.

In this role, you can expect to:

  • Design, develop, test, deploy and monitor data pipelines in Databricks on AWS from a wide variety of data sources
  • Design, develop, test, deploy and monitor scalable code with PySpark and SQL in Databricks
  • Identify opportunities to improve internal process through code optimisation and automation
  • Build data quality dashboards, lineage flows / and or monitoring tools to utilize the data pipeline, providing active monitoring and actionable insight into overall data quality and data governance
  • Assist in migrating data from legacy systems onto newly developed solutions
  • Follow and lead best practices on all data security, retention, and privacy policies

Requirements

  • Bachelor's degree
  • 3+ years' experience of building ETL/ELT pipelines
  • Proven competency in solution design, development, implementation, reporting and analysis
  • Proficiency in Apache-Spark, Python and SQL languages
  • Proficiency in working with Text, Delta, Parquet, JSON, CSV, and XML data formats
  • Working knowledge of Spark structured streaming
  • AWS infrastructure experience, specifically working with S3
  • Solid understanding of git-based version control, DevOps, and CI/CD. Experience of working on Atlassian stack a plus
  • Knowledge of common web API frameworks and web services
  • Strong teamwork, relationship, and client management skills, and the ability to influence peers and senior management to accomplish team goals
  • Willingness to embrace modern technology, best practice, and ways of work

Other offers great for you!

These companies are also looking for great profiles

PROPULSE IT

INGENIEUR DATA BI EXPERIMENTE

Selon profil

Freelance

Hybrid

Skills

SQL QueriesPythonGoogle BigQueryPySparkTalendTeradata

5 days ago

Quick apply

FreelanceRepublik

Data engineer

Freelance

Paris, France

Hybrid

Skills

Snowflake DBT PipelinesMigration Dataiku DBTData Engineering IA

11 hours ago

Quick apply

Soors

Data Engineer Python H/F

Freelance

Bordeaux, France

Hybrid

Skills

SQL QueriesPython

5 hours ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools