Data Engineer

Remote • Posted 12 hours ago • Updated 9 hours ago
Full Time
No Travel Required
Remote
Depends on Experience
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Fitment

Dice Job Match Score™

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Job Details

Skills

  • Databricks
  • Production Support
  • L2 Support
  • Unity Catalog
  • Delta Lake
  • SQL
  • PySpark
  • ADF
  • Azure Databricks
  • SME
  • TWS

Summary

Title - Databricks L2 Support SME / Technical POC

Exp -             6-8 yrs

Location - Onshore

Other requirements - work in eastern time zone

 

About the Role

Seeking a hands-on Databricks L2 Support SME who will serve as the primary technical POC between L1 Operations, L3 Engineering, domain stakeholders, and offshore support. The role will focus on platform reliability, deep technical triage, root-cause elimination, and continuously improving the Databricks/BDP support model.

Key Responsibilities

· Own L2 technical triage, diagnosis and resolution for Databricks jobs, pipelines and data issues.

· Act as the technical liaison/POC across L1 Operations, L3 Engineering and domain stakeholders.

· Lead/support Major Incident and P2 triage, data/log analysis and resolution.

· Drive RCA/Post-Incident Reviews and corrective actions to eliminate recurring issues.

· Support releases, hypercare and smooth transition of new BDP workloads into BAU support.

· Drive reliability, operational stability and continuous support improvement.

· Maintain runbooks, SOPs and KB/DISC documentation and enable offshore support through KT.

· Identify AI/automation opportunities to reduce support effort and improve reliability

Required Qualifications

· Strong hands-on experience with Azure Databricks, ADF, PySpark, SQL and Delta Lake.

· Working knowledge of Unity Catalog and production Databricks workloads.

· Strong experience in L2/L3 data platform or ETL production support, incident triage, RCA and problem management.

· Ability to troubleshoot job/pipeline failures, data issues, dependencies, logs and performance issues.

· Strong stakeholder communication, ownership and cross-team coordination skills.

Preferred Qualifications

· Experience with Databricks Workflows/Lakeflow, Azure, CI/CD and observability tools.

· Exposure to Informatica, TWS and legacy ETL environments.

· Experience supporting governed data platforms using Delta Lake and Unity Catalog.

· Exposure to AI-assisted incident triage, support automation and proactive reliability improvements.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: bitwise
  • Position Id: 9120837
  • Posted 12 hours ago

Company Info

About Bitwise

We are #OneBitwise focused on a shared future of global alignment, enabling us to deliver seamless client outcomes and drive endless growth opportunities for our worldwide team of Bitwisers.

A global technology consulting and services firm, Bitwise helps enterprises modernize, innovate, and grow in the AI era. Headquartered in Chicago with global delivery centers in Pune, India, we combine onshore client alignment with offshore efficiency to drive measurable results.

We are the industry’s most experienced and dedicated team of data professionals, focusing on Data Warehousing, Data Integration, Analytics, Business Intelligence, AI / ML and Generative AI, Big Data, Cloud Computing, Test Engineering and Digital Engineering. These capabilities enable our clients to take advantage of the AI wave.

With 30 years of enterprise data warehouse experience, we lead with bold thinking and proprietary modernization IP to expedite the transition to modern, AI-ready data platforms through partnership with Microsoft, AWS, Google Cloud, Informatica, Databricks and Snowflake.

Driven by passionate people and deep technical expertise, we are more than a vendor—we are your strategic growth partner.

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Pankaj Mishra

Recruiter @ Bitwise

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