Job Description
Key Responsibilities
• 4+ years of IT experience in Analysis, Design, Development and unit testing of Data warehousing applications using industry accepted methodologies and procedures
• Write complex SQL queries to implement ETL (Extract, Transform, Load) processes and for Business Intelligence reporting.
• Strong problem solving & technical skills coupled with confident decision making for enabling effective solutions leading to high customer satisfaction
• Deliver robust solutions through Query optimization ensuring Data Quality.
• Should have experience in writing Functions and Stored Procedures.
• Strong understanding of the principles of Data Warehouse using Fact Tables, Dimension Tables, star and snowflake schema modelling
• Analyse & translate functional specifications /user stories into technical specifications.
• Good to have experience in Design/ Development in any ETL tool like DataStage and Snaplogic.
• Good interpersonal skills, experience in handling communication and interactions between different teams
Required Skills
• Strong experience in Python for ETL and data processing
• Hands-on Snowflake experience (Snowpipe, Streams, Tasks)
• Advanced SQL skills (queries, joins, procedures)
• ETL/ELT pipeline development
• Data warehousing concepts
• Data validation and performance tuning
• Version control (Git) and Agile methodologies
Good to Have
• Experience with ETL tools (DBT, ADF, SnapLogic, Informatica)
• Cloud exposure (AWS / Azure)
• Handling semi-structured data (JSON, XML)
• Pipeline orchestration tools
• Power BI (DAX, dashboards, data modeling)
Experience & Qualifications 4–8 years of experience in Data Engineering / ETL / BI development Bachelor’s degree in Computer Science or related field
At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principles
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