Senior SQL Developer

6 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Role: Senior SQL Developer – ETL & Data Validation (6+ Years Experience)

Location:

Company:


About the Role

Strong SQL Developer with ETL expertise

invoicing, finance, reporting, and operational analytics


Key Responsibilities

  • Review, analyze, and optimize

    complex MS SQL stored procedures, views, functions, and scripts

    .
  • Investigate and debug

    data gaps, mismatches, missing records, incorrect values, and pipeline failures

    .
  • Perform end-to-end analysis of

    ETL/ELT processes

    , identify breakpoints, and work with engineering teams to fix defects.
  • Conduct

    Data Quality checks

    , audits, and validation across multiple systems.
  • Perform

    data profiling, lineage tracing, and root-cause analysis

    for data issues.
  • Support data teams in diagnosing

    invoicing data quality issues

    and other business-critical workflows.
  • Implement and maintain

    DQ rules, data validation frameworks, and reconciliation logic

    .
  • Collaborate with data engineers and analysts to strengthen overall

    data governance and data accuracy

    .


Skills & Experience Required

  • 6+ years of strong hands-on experience with MS SQL Server.

  • Advanced proficiency in:
  • Writing and reviewing

    complex SQL stored procedures

  • Performance tuning, debugging, query optimization
  • Handling large data sets
  • Strong understanding of

    ETL workflows

    , job failures, and debugging techniques.
  • Experience with

    Data Quality

    ,

    Data Profiling

    , and

    Data Validation

    .
  • Good understanding of

    data lineage, metadata, and data governance concepts

    .
  • Strong analytical and critical-thinking skills to investigate complex data discrepancies.
  • Ability to work in a fast-paced environment and collaborate across teams.
  • Experience in invoicing, financial, or transactional data workflows (preferred).


Nice-to-Have

  • Experience with SSIS, Azure Data Factory, or other ETL tools.
  • Exposure to cloud data platforms (Azure, Snowflake, Databricks).
  • Knowledge of scripting (Python, PowerShell) is a plus.

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