About the Role:

We are looking for a data craftsman who thrives at the intersection of engineering, analytics, and operations. As a Data Engineer on our team, you will design and scale pipelines that transform raw information into business-ready insights. You’ll work across ecosystems like Python, Spark, Kubeflow, Jenkins, and GitHub to ensure our data platforms are reliable, secure, and future-ready.

This is a hands-on role where you’ll build, automate, and optimize — not just keep the lights on. If you enjoy solving complex problems, designing scalable systems, and collaborating across teams, this role is for you

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What You’ll D

• o:Engineer scalable data pipelines using Python and Spark, integrating structured and unstructured sources (MongoDB, SQL, APIs
• ).Design and evolve Kubeflow workflows to automate and scale end-to-end data processe
• s.Enhance team productivity by leveraging Jenkins for automation and GitHub for version control, branching, and peer collaboratio
• n.Debug and optimize workflows using logs and metrics from Splunk, ensuring resilience and performanc
• e.Work securely and efficiently by navigating bastion hosts and shell environments (including the Python interactive shell) for quick experimentation and fixe
• s.Collaborate across teams to ensure that data solutions are clean, reliable, and aligned with business need
• s.Optimize at scale — tune Spark jobs, SQL queries, and schema designs for high-performance data system
• s.Develop with modern tools — whether PyCharm, VS Code, or CLI, bring your best workflow to the tea

m.
What You Brin

• g: Strong experience building ETL/ELT pipelines in Python and Spa
• rk.Proficiency in MongoDB and SQL, with a focus on performance tuning and complex transformatio
• ns.Knowledge of data modeling, governance, and lineage best practic
• es.Experience with cloud platforms (AWS, GCP, or Azure) and modern data stacks (Snowflake, data lake
• s).Familiarity with streaming frameworks like Kafka or Spark Streami

ng.
Bonus points f

• or: Designing or scaling workflows with Kubef
• low.Using Jenkins for workflow automation and orchestrat
• ion.Leveraging Splunk for troubleshooting and performance tun
• ing.Hands-on work with bastion hosts, shell scripting, and interactive Python shells. ○ Collaborating via GitHub (branching strategies, pull requests, CI/
• CD).Experience with Python IDEs like PyCharm or VS C