Data Support Engineer (L1&L2)

Whiteblue; Chennai District; Hybrid; INR 1,000,000 - 1,500,000; Full time

Job summary

Whiteblue in Chennai, Tamil Nadu is seeking a skilled support engineer to monitor and troubleshoot enterprise data pipelines, particularly in Snowflake and Azure Data Factory (ADF). The ideal candidate should have over 6 years of experience in data support and a strong understanding of ETL/ELT processes.

This full-time position offers a hybrid work model, and responsibilities include ensuring SLA compliance, incident management, and providing robust support for data-related incidents.

Qualifications

• 6+ years of experience in data platform support.
• Strong troubleshooting and performance analysis skills.
• Ability to work in SLA-driven managed services environments.

Responsibilities

• Support and troubleshoot L1 / L2 Data Platform issues.
• Monitor Snowflake data warehouse and ADF pipelines.
• Perform job monitoring, failure analysis, and recovery for ETL/ELT pipelines.

Skills

Strong SQL skills

Experience with Azure Data Factory (ADF)

Understanding of ADLS

Knowledge of ETL/ELT processes

Experience in L1/L2 production support

Familiarity with ITIL processes

Strong analytical mindset

Communication skills

Tools

PowerShell

Python

Bash

Job description

Support and troubleshoot enterprise data pipelines and platforms.

Employment Type: Full Time

Timing: NA

Work Mode: Hybrid / Remote

Experience: 6+ years

Location:

Key Responsibilities

L1 / L2 Data Platform Support

Monitor and support Snowflake data warehouse, ADLS, and ADF pipelines on a 24x7 or business-hours support model.

Should be able to debug and fix code in Snowflake & ADF

Perform job monitoring, failure analysis, reruns, and recovery for ETL/ELT pipelines handling structured and semi‑structured data.

Handle data load failures, performance issues, schema changes, and data discrepancies.

Execute standard operating procedures (SOPs) for recurring operational tasks.

Incident, Problem & SLA Management

Act as first and second line of support for data-related incidents and service requests.

Perform initial triage, root cause analysis, and escalation to L3/platform teams when required.

Ensure SLA, SLO, and KPI compliance (incident response, resolution times, data availability).

Maintain accurate ticket updates, incident reports, and runbooks.

Coordinate with application, core banking, infrastructure, and security teams.

Maintain support documentation, knowledge articles, and handover notes.

Participate in post‑incident reviews and service improvement initiatives.

Required Skills & Experience

Technical Skills

Strong SQL skills (querying, troubleshooting, performance analysis).

Experience with Azure Data Factory (ADF) pipeline monitoring and troubleshooting.

Understanding of ADLS / cloud data storage.

Knowledge of ETL/ELT processes for structured and semi‑structured data (JSON, CSV, Parquet).

Operations & Support Skills

Experience in L1/L2 production support for data platforms.

Familiarity with ITIL processes (Incident, Problem, Change Management).

Strong experience with job scheduling, monitoring tools, and alert handling.

Ability to work with SLA-driven managed services environments.

Nice to Have

Exposure to data governance and security tools (Purview, Voltage, Cohesity, Spirion, BlueVoyant).

Experience in banking, credit union, or financial services environments.

Basic scripting knowledge (PowerShell, Python, or Bash) for support automation.

Understanding of cloud security and data privacy concepts.

Soft Skills

Strong analytical and troubleshooting mindset.

Clear written and verbal communication for incident handling.

Ability to work in shifts/on-call rotations if required.

Detail-oriented with a strong sense of ownership and accountability.