Job Summary

We are looking for a Data Analyst with solid hands-on experience in SQL and ETL pipelines. The ideal candidate should be proficient in data extraction, transformation, loading, validation, monitoring, and troubleshooting, with the ability to work with large datasets and optimise query performance.

Position: Data Analyst

Job Type: Full time

Experience: 1-6 yrs

Location: Noida (Sec- 62)

Notice Period: Immediate joiner- 15 days

Responsibilities

- Develop, maintain, and optimise ETL pipelines for data extraction, transformation, and loading.
- Write and optimise complex SQL queries, joins, subqueries, CTEs, stored procedures, and analytical queries.
- Perform data transformation, cleansing, validation, and quality checks.
- Monitor data pipelines and troubleshoot data quality and processing issues.
- Analyse large datasets to identify trends, patterns, and discrepancies.
- Ensure data accuracy, consistency, and integrity across multiple data sources.
- Optimise SQL queries and database performance.
- Collaborate with technical and business teams to understand data requirements.




- Troubleshoot ETL and data pipeline failures and ensure timely resolution.
- Maintain technical documentation for data processes and pipelines.

Required Skills

- 2+ years of relevant experience in Data Analytics, ETL Development, Data Engineering, or similar data-focused roles.
- Strong hands-on SQL skills - Mandatory.
- Good understanding of ETL concepts and pipeline development.
- Experience in data extraction, transformation, loading, and pipeline monitoring.
- Strong understanding of relational databases and data structures.
- Experience with data validation, quality checks, and troubleshooting.
- Strong analytical and problem-solving skills.
- Good verbal communication skills.
- Ability to work independently as well as collaboratively.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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