Columbia Sportswear

Apparel and Footwear

Sr.DataEngineeringOps(EngineeringOps)

₹22–35L ~AI est. Bangalore, Karnataka, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Data Engineering Ops (Engineering Ops) at Columbia Sportswear. Skills: Data Engineering Ops, Azure, Production Support. Provide Tier 1 and Tier 2 support. Triage pipeline failures”

Industry & Context.

Apparel and Footwear
Problems you'll solve

Troubleshooting production issues

Eligibility Requirements

On-call rotation

What They're Looking For.

Must Have

Bachelor's degree in computer science, 4+ years of experience in data operations, 2 years in Tier 2 production support, Hands-on experience with core Azure data services, Working knowledge of Delta Lake concepts, Solid SQL skills, Experience with Python or PowerShell, Familiarity with CI/CD pipelines, Experience with enterprise job scheduling platforms, Experience with Power BI, Ability to work effectively in Agile/scrum environment, Good communication, Availability for on-call rotation

Nice to Have

Experience with SAP environments, Exposure to Unity Catalog, Familiarity with Azure Analysis Services

What You'll Do.

Provide Tier 1 and Tier 2 support

Triage pipeline failures

Address data quality issues

Investigate production issues

Document production issues

Escalate production issues

Participate in Azure environment refresh

Execute routine maintenance tasks

Oversee routine maintenance tasks

Implement data governance policies

Manage data governance policies

Configure integrations with external data sources

Manage integrations with external data sources

Ensure timely reporting of issues

Implement automated solutions

Collaborate with team members

Contribute to operational documentation

Support knowledge transfer

How You'll Work.

Team & Collaboration

Onsite and offshore team members; Enterprise support organizations; Business stakeholders; D&A team

Communication Scope

Communicate status effectively

Process & Methodology

Agile environment

Full Job Description

**ABOUT THE POSITION** Although we're an apparel and footwear-focused company, technology is central to everything we do. Columbia Sportswear’s Digital Technology (CDT) group enables an IT infrastructure and applications across four global brands, a global supply chain, and 500+ geographically dispersed stores. These teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry. The Sr. Data Operations Engineer is a member of the Data & Analytics team that is responsible for data and business intelligence design, development and testing of new capabilities/enhancements to existing solutions that meet CSC's business needs within an Agile environment. The Sr. Data Operations Engineer is responsible for investigating, documenting, and resolving production issues affecting enterprise data assets. The Sr. Data Operations Engineer will provide Tier 1 and 2 support to enterprise data assets and systems across D&A team, including critical processes and job failures. Responsibility to be on call rotation with offshore supporting during off hours. The Sr. Data Operations Engineer will work with fellow BI Engineers onsite and offshore. The Sr. Data Operations Engineer will also work closely with several enterprise support organizations and Columbia users in addition to the D&A team. Work independently and acts as a resource for co-workers with less experience. **HOW YOU’LL MAKE A DIFFERENCE** * Provide Tier 1 and Tier 2 support to enterprise data assets and systems across the D&A team, including triage and resolution of pipeline failures, job errors, and data quality issues for solutions within the D&A environment spanning Azure, SAP BW/HANA, and BI platforms * Investigate, document, and escalate production issues affecting enterprise data assets, building toward independent Tier 3 resolution capability over time * Participate in Azure environment refresh and cutover activities for system integration testing and go-li

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