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Finarb
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1 to 50 Employees · Calcutta, India
3 open roles1 posted in 7d3 in 30d
Work-life balance 3.2Compensation & benefits 3.6Culture & values 2.8
Hiring: Engineering
What employees say
+ to be able to work on multiple technologies, supportive managers, good pay, flexible schedule
− tight deadlines, sometimes conflicting tasks
More reviews on the company profile.
Interview experience · Data Scientist
Consisted of 2 Rounds with 1st one consisting of test with almost 50 questions or so , while the second round was more of a panel interview. Test had pseudo-programming questions and some others were purely theoretical m
Average difficulty · India · 2 reports
More interview insightsJob description
Overview
Location: Hyderabad / Kolkata
Responsibilities
- Lead data quality engineering, validation, and reconciliation activities across enterprise data platforms.
- Design and implement automated data quality testing frameworks using SQL and Python.
- Develop complex SQL queries for source-to-target reconciliation, transformation validation, and data integrity checks.
- Validate ETL/ELT pipelines, including full loads, incremental loads, CDC, and complex transformations.
- Lead data validation and reconciliation during migration from SQL Server and Azure Data Factory to Microsoft Fabric.
- Establish data quality standards, testing strategies, and automated monitoring processes.
- Investigate production data discrepancies, perform root cause analysis, and implement preventive controls.
- Collaborate with data engineers, architects, and BI developers to ensure data accuracy and reliability.
- Mentor data quality engineers, conduct technical reviews, and drive engineering best practices.
Qualifications
- Employment Type: Full-Time
- Company: Finarb Analytics Consulting Pvt. Ltd.
- About Finarb
- Finarb Analytics Consulting is a data, analytics, and AI consulting firm delivering enterprise solutions across data engineering, business intelligence, cloud modernization, and advanced analytics.
- About the Role
- We are looking for an experienced, hands-on Lead Data Quality Engineer to drive data validation, reconciliation, and quality automation across enterprise data platforms.
- The ideal candidate will have strong expertise in SQL, ETL/ELT testing, data quality automation, and data warehousing, with experience in Azure-based environments and preferably Microsoft Fabric.
- The role involves leading data quality initiatives, developing automated validation frameworks, ensuring data integrity during platform migrations, and mentoring junior engineers.
- 7–11 years of experience in data quality engineering, ETL testing, or data warehouse testing.
- Advanced SQL/T-SQL skills, including complex joins, CTEs, window functions, and query optimization.
- Strong experience in ETL/ELT testing, source-to-target validation, and data reconciliation.
- Hands-on experience developing automated data quality frameworks using SQL and Python.
- Strong understanding of data warehousing, dimensional modeling, and transformation logic.
- Experience with SQL Server, Azure Data Factory, and Azure data environments.
- Proven ability to troubleshoot complex data discrepancies and production issues.
- Experience leading technical teams, reviewing code, and establishing testing standards.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Microsoft Fabric (Lakehouse, Warehouse, OneLake, Fabric Data Factory).
- PySpark and Spark SQL.
- Data quality tools such as Great Expectations, Soda, or dbt tests.
- Delta Lake and medallion architecture.
- Azure DevOps, Git, and CI/CD.
- Experience with cloud data migration and modernization projects.
- Power BI data validation and Microsoft Purview.
- Work on enterprise-scale data engineering and cloud modernization projects.
- Gain exposure to Microsoft Fabric and modern data platforms.
- Lead data quality engineering initiatives and influence technical standards.
- Collaborate with experienced data architects and engineering teams.
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Job application FAQ
Last updated 14 October 2026
- How do I apply for Lead Data Quality Engineer at Finarb?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Finarb may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Data Quality Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Quality Engineer remote or on-site in Hyderabad, Telangana?
- This listing is marked on_site with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Lead Data Quality Engineer role at Finarb?
- This is a lead Lead Data Quality Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.