Job Description

Role Overview

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We are looking for a proactive Data Support Engineer to join our data engineering team. The role involves supporting, monitoring, and troubleshooting data pipelines and ETL processes, ensuring data reliability and smooth operations across Snowflake-based data platforms.

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Key Responsibilities

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Monitor and support daily data pipeline operations, ensuring timely and accurate data delivery.
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Perform L1/L2 troubleshooting for ETL job failures, data discrepancies, and pipeline errors.
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Write and optimize SQL queries for data validation, reconciliation, and issue resolution.
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Support and maintain Snowflake data warehouse objects, queries, and performance issues.
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Assist in developing and maintaining ETL workflows using Python and PySpark.
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Perform root-cause analysis for recurring data issues and support permanent fixes.
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Collaborate with data engineers and business teams to resolve data quality and pipeline-related tickets.
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Document issues, resolutions, and standard operating procedures for recurring support scenarios.




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Support production releases, deployments, and post-deployment validation.
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Mandatory Skills

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Snowflake – Hands-on experience with querying, basic administration, and troubleshooting
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ETL – Understanding of ETL/ELT concepts and pipeline workflows
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SQL – Strong query writing, debugging, and optimization skills
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Python – Working knowledge for scripting and automation
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PySpark – Basic to intermediate hands-on experience
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Positive to Have

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Experience with cloud platforms (Azure/AWS/GCP)
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Exposure to job scheduling/monitoring tools
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Ticketing tool experience (ServiceNow, JIRA, etc.)
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Basic understanding of data warehousing concepts
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Experience in a production support/L1-L2 support setting
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Ideal Candidate

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A candidate with 1–3 years of experience who is comfortable working in a support-driven setting, ha

📌 Data Support Specialist Bengaluru
🏢 NexionPro Services
📍 Bengaluru