Key Responsibilities: 

• Extract and process data from multiple databases, APIs, and cloud platforms by establishing strong source connections. 

• Design, develop, and maintain ETL pipelines for efficient data transformation and ingestion. 

• Write and optimize complex SQL queries for data extraction,validation,andreporting. 

• Utilize PySpark and BigData technologies(Hadoop,Spark,Databricks,etc.)to process and analyze large datasets. 

• Perform data analysis using Python (Pandas,NumPy,etc.)to uncover trends,patterns,and insights. 

• Develop and maintain interactive dashboards and reports in Power BI(good to have). 

• Work with cross-functionalteams to understand business requirements and translate them into data-driven solutions. 

• Experience in Data warehouse schema creation and optimization 

• Ensure data accuracy, security, and compliance with company policies. 

• Present analytical findings and recommendations to stakeholders in a clear and actionable manner. 
 

Required Skills & Qualifications: 

• Minimum 5+ Years of experience in data analytics, data engineering, or business intelligence. 

• Strong expertise in SQL(writing, optimizing, and managing complex queries). 

• Hands-on experience in ETL processes and building/maintaining data pipelines. 

• Experience working with Big Data technologies (Hadoop,Spark,PySpark,Databricks,etc.). 

• Proficiency in Python for data analysis(Pandas, NumPy, etc.). 

• Experience of working on Fabric 

• Experience of working on Databrick 

• Experience in connecting to and processing data from multiple data sources (databases, APIs, cloud platforms). 

• Experience of working on Cloud platforms ( Azure /AWS / GCP) 

• Experience of delivering the Projects 

• Experience of requirement understanding 

• Experience of preparing estimations and creating POCs 

• Experience of working with different Project domains. 

• Proficiency in delivering High –quality codes to clients 

• Proficiency in Data warehouse schema creation. 

• Experience of client communication. 

• Strong analytical and problem-solving skills. 

• Experience of mentoring and managing the team.