Ops Dev - EDW Finance - Offshore

Job Description

Compensation:

10-15 LPA - Exact compensation may vary based on several factors, including skills, experience, and education.

Day to Day Responsibilities

Act as a production support partner alongside the team’s rotational onshore/offshore support engineers

Monitor, triage, and resolve data pipeline and job failures, including:

• ETL/ELT job errors
• Data quality issues and discrepancies
• Upstream/downstream dependency failures

Perform hands‑on debugging across data platforms, logs, and orchestration tools

Execute urgent development fixes tied to high‑priority production incidents

Support end‑to‑end incident management, including:

• Root Cause Analysis (RCA)
• Prevention / no‑repeat action plans
• Clear documentation of issue, impact, and resolution

Pair with on‑call engineers to help offload development work, follow up on time‑sensitive issues, and respond to inbound support items

Remain generally available during extended coverage hours (7am–8pm ET) to assist with critical incidents when needed

When production is stable, contribute to KTLO and standard development backlog work alongside the broader engineering team

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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Skills and Requirements

Strong data engineering foundation, including:

• Advanced SQL
• ETL / ELT pipeline development
• Experience with cloud data warehouses (Big Query preferred)
• Workflow orchestration tools (e.g., Airflow or similar)
• Prior experience in production or operational support roles
• Proven ability to debug complex data issues using logs, metrics, and system traces
• Experience conducting root cause analysis and documenting incidents clearly and thoroughly
• Comfort working in a rotational support model with onshore/offshore teams
• Ability to balance urgent production fixes with ongoing development work
• Strong communication skills — able to explain technical issues, impact, and resolution clearly Direct experience in 24/7 production support environments
• Familiarity with incident management frameworks and post‑incident best practices
• Experience supporting business‑critical or high‑visibility data pipelines
• Background in KTLO/backlog stabilization efforts
• Experience partnering closely with platform, infra, or upstream/downstream engineering teams
• Comfort joining incident calls during critical situations, even outside standard working hours