We are seeking a highly experienced Data Analytics professional with strong expertise in Power BI, SQL, ETL processes, and data pipeline development. The role involves designing scalable data solutions, enabling business intelligence, and driving end-to-end data transformation initiatives.
Key Responsibilities1. Data Engineering & Pipeline Development- Design, develop, and maintain end-to-end data pipelines from multiple sources (APIs, databases, cloud platforms)
- Build robust ETL/ELT workflows to ingest, transform, and load data into data warehouses/data lakes
- Ensure data quality, integrity, and reliability across pipelines
- Develop optimized data models (star/snowflake schemas) for analytics and reporting
- Implement complex data transformations using SQL and ETL tools
- Work with large-scale datasets and optimize performance
- Design and develop interactive dashboards and reports using Power BI
- Create advanced DAX measures, KPIs, and calculated columns
- Optimize report performance and ensure usability for business stakeholders
- Write complex, efficient SQL queries, stored procedures, and views
- Work with databases such as SQL Server, Snowflake, Redshift, or similar
- Perform query optimization and performance tuning
- Partner with business teams to understand requirements and translate into data solutions
- Provide insights and recommendations based on data analysis
- Support decision-making through actionable dashboards
- Ensure adherence to data governance, security, and compliance standards
- Maintain documentation for data models, pipelines, and reports
- Implement best practices for scalability and maintainability
- Power BI (Advanced: DAX, data modeling, performance tuning)
- SQL (Advanced querying, optimization)
- ETL Tools (e.g., Informatica, Talend, SSIS, AWS Glue, etc.)
- Data Pipeline Development (batch & near real-time)
- Cloud Platforms (AWS/Azure preferred)
- Data Warehousing Concepts (Star schema, Snowflake schema)
- Experience with Big Data tools (Spark, Hadoop)
- Exposure to streaming data (e.g., Kinesis, Kafka)
- Knowledge of Python/R for data processing
- Experience in Athena, S3, Redshift, Snowflake
- 9+ years of experience in Data Analytics / BI / Data Engineering
- Bachelor’s/Master’s degree in Engineering, Computer Science, or related field
- Strong analytical and problem-solving skills
- Ability to handle complex data environments
- Excellent communication and stakeholder management
- Ownership mindset and ability to work in fast-paced environments
eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience.
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.
Top Skills
eClerx LLC Mumbai, Maharashtra, IND Office
Express Towers, 4th Floor, Ramnath Goenka Marg, Nariman Point, Mumbai, Maharashtra, India, 400021
