Power Bi Developer

Responsibilities • Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy. • Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP. • Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements. • Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes. • Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline. • Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem. • Monitoring and Maintenance: Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and associated data processes. • Collaboration: Work closely with other data engineers, analysts, product managers, and other stakeholders to understand data requirements and support various data-driven initiatives. • Documentation: Maintain thorough documentation of data engineering processes, code, and pipeline configurations.

Job Description: Client's expectation: Must have for sure - 1. Strong hands on experience in Power BI Reports and Dashboards 2. Strong SSRS Development Experience 3. Strong SQL and Analytical Skills -- Good to have 4. Experience working in Banking Domain is preferred 5. Candidate should be Fast Learner and should be independent contributor 6.ETL skills is preferred 7. pyspark is preferred. Delivery Area: Data and Analytics / Digital Products Secondary Skill: Pyspark Experience: • 5 to 7 years of experience with data visualization - Essential. • Experience in data & analytics - Desirable. • Experience in banking domain. • Experience in agile working environments - Desirable. Knowledge Skill (Essential): • Proven ability to visualize analytics insights • Proficiency with Tableau & Power BI (Including SSRS) • Experience working with large datasets (Hadoop & SQL) • Portfolio of existing work • Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation. • Able to identify process improvement opportunities, propose system modifications, and devise governance strategies • Able to take and challenge stakeholder requirements