Data Analyst

Nxtwave Disruptive Technologies(Hiring for a Client); Dadri, Greater Noida, New Delhi; On-site; INR 400,000 - 700,000; Full time

Job summary

Nxtwave Disruptive Technologies is hiring a Data Analyst in Noida to manage SQL-heavy ETL pipelines, data extraction, transformation, loading, and validation. The role focuses on data quality, performance tuning, and collaborating with technical and business teams to deliver reliable data solutions.

Ideal candidates will have hands-on SQL, experience with complex queries, and a strong understanding of relational databases, data structures, and data quality checks.

Qualifications

• 1+ years of relevant industry experience as a Data Analyst, ETL Developer, Data Engineer, or in a similar data-focused role.
• Strong hands-on SQL experience Mandatory.
• Strong understanding of ETL concepts and pipeline development.
• Hands-on experience with data extraction, transformation, loading, and validation.
• Strong understanding of relational databases and data structures.
• Experience with data quality checks, monitoring, and troubleshooting.
• Experience working with large datasets and SQL query optimization.
• Strong analytical and problem-solving skills.
• Ability to work independently as well as collaboratively with technical and business teams.

Responsibilities

• Develop, maintain, and optimize ETL pipelines for data extraction, transformation, and loading.
• Write and optimize complex SQL queries, including joins, subqueries, CTEs, stored procedures, and analytical queries.
• Perform data extraction, transformation, cleansing, validation, and loading activities.
• Monitor data pipelines and identify and resolve data quality and processing issues.
• Analyze large datasets to identify trends, patterns, discrepancies, and data quality issues.
• Ensure data accuracy, consistency, completeness, and integrity across multiple data sources.
• Work with large datasets and optimize SQL queries for better performance.
• Collaborate with technical and business teams to understand data requirements and deliver accurate data solutions.
• Troubleshoot ETL and data pipeline failures and ensure timely resolution.
• Perform data quality checks and implement appropriate validation processes.
• Maintain technical documentation related to data pipelines, SQL processes, and data workflows.

Skills

SQL

ETL pipelines

Data extraction

Data transformation

Data loading

Data quality checks

Data analysis

Analytical thinking

Independent work

Job description

Job location : Noida

About the Role

We are looking for a Data Analyst with strong hands-on experience in SQL and ETL pipeline development. The ideal candidate should have strong SQL expertise and experience in data extraction, transformation, loading, validation, monitoring, and troubleshooting.

This is a SQL-intensive role requiring hands-on experience with complex queries, relational databases, ETL processes, and data quality.

Key Responsibilities

• Develop, maintain, and optimize ETL pipelines for data extraction, transformation, and loading.
• Write and optimize complex SQL queries, including joins, subqueries, CTEs, stored procedures, and analytical queries.
• Perform data extraction, transformation, cleansing, validation, and loading activities.
• Monitor data pipelines and identify and resolve data quality and processing issues.
• Analyze large datasets to identify trends, patterns, discrepancies, and data quality issues.
• Ensure data accuracy, consistency, completeness, and integrity across multiple data sources.
• Work with large datasets and optimize SQL queries for better performance.
• Collaborate with technical and business teams to understand data requirements and deliver accurate data solutions.
• Troubleshoot ETL and data pipeline failures and ensure timely resolution.
• Perform data quality checks and implement appropriate validation processes.
• Maintain technical documentation related to data pipelines, SQL processes, and data workflows.

Required Skills

• 1+ years of relevant industry experience as a Data Analyst, ETL Developer, Data Engineer, or in a similar data-focused role.
• Strong hands-on SQL experience Mandatory.
• Strong understanding of ETL concepts and pipeline development.
• Hands-on experience with data extraction, transformation, loading, and validation.
• Strong understanding of relational databases and data structures.
• Experience with data quality checks, monitoring, and troubleshooting.
• Experience working with large datasets and SQL query optimization.
• Strong analytical and problem-solving skills.
• Ability to work independently as well as collaboratively with technical and business teams.

Preferred Profile

• Candidates with experience in SQL-heavy Data Analyst, ETL, Data Engineering, or Data Pipeline roles.
• Candidates should have strong hands-on experience in SQL rather than primarily working on reporting or dashboard development.
• Experience with stored procedures, CTEs, complex joins, query optimization, and data validation will be an advantage.

Important Screening Criteria

• SQL is mandatory and should be hands-on and strong.
• Candidates whose experience is primarily limited to Power BI/dashboard development without strong SQL and ETL exposure are not suitable.
• Profiles primarily focused on PySpark should be avoided.