Data Analyst - Data Quality & Databricks
Skills
About the role
This is a data analyst role focused on data quality validation, profiling and reconciliation, using Databricks, SQL and Python/PySpark, across Bangalore, Chennai or Pune. It suits an experienced data analyst who can explore large datasets, translate findings into recommendations, and work closely with data engineers and business stakeholders. The employer is Nexionpro Services.
What you’ll do
- Use Databricks for data analysis, exploration, validation and troubleshooting
- Write advanced SQL queries and scripts against complex, large-scale datasets
- Perform data analysis, profiling, reconciliation and data quality validation
- Translate analysis into findings, recommendations and actionable insights
- Identify inefficient queries or data-processing patterns and work with Data Engineers to improve performance
- Use Python and PySpark for data analysis and large-scale data processing
- Combine data from multiple sources, perform QC/reconciliation and derive insights
- Translate business requirements into data requirements, validation rules and acceptance criteria
- Document data definitions, business rules, mappings and validation outcomes
- Collaborate with Data Engineers, Data Architects, BI teams, QA and Product Owners
What they’re looking for
- 7-11 years of experience
- Strong hands-on experience with Databricks
- Advanced SQL querying and scripting skills
- Strong experience in data analysis, profiling, reconciliation and Data Quality validation
- Hands-on knowledge of Python and PySpark
- Strong understanding of data relationships, transformations and business rules
- Experience with Git-based version control
- Experience working in Agile/Scrum delivery environments
- Good communication skills for technical and non-technical stakeholders
Questions about this role
How many years of experience do I need?
7-11 years of experience.
Which cities is this role open in?
Bangalore, Chennai and Pune.
What tools does this role use?
Databricks, SQL, Python and PySpark.
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