Description

The role is for a self-motivated individual with software engineering and Data warehousing skills and expertise. The candidate will be extensively involved in hands-on activities including POCs, design, documentation, development, and test of new functionality. Candidate should have a strong analytical mindset and should have implemented various Data Warehousing projects on-premises/cloud. Should have built production grade data pipelines. Candidate must be agile and flexible with changing priorities based on team’s needs. Candidate with 6 – 10 Years of experience is preferred. Qualification & Experience: • CS fundamentals: You have earned at least a B.S. / MS in Computer Science, or related degree AND you have a strong ethos of continuous learning. • Software engineering & Architecture: at least 5+ years of professional software development experience with languages and systems such as Python and version control (git), with good analytical & debugging skills. • Big data/ Data warehousing: You have extensive experience with data analytics and Plan, create, coordinate, and deploy data warehouses. Develop data architecture, data modeling, and ETFL mapping solutions within structured data warehouse environment. Support the development and validation required through the lifecycle of the DWH and Business Intelligence systems, maintain user connectivity, and provide adequate security for data warehouse. You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets. • Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques. • Strong design skills: with a proven track record of success on large/highly complex projects preferably in Enterprise Apps and Integration. • Project management: You demonstrate excellent project and time management skills, exposure to scrum or other agile practices in JIRA. • Excellent verbal and written communication skills: Must be able to effectively communicate & work with fellow team members and other functional team members to coordinate & meet deliverables. coordinate & meet deliverables. Must Have Good to have Software engineering & Architecture Python, analytical & debugging skills in Designing Data platform/Datawarehouse version control (git) Data Warehouse / ETL Big Query, Oracle, Airflow/Composer Exassol, Redshift Data Modeling Data modeling, SQL, in-memory database, Star Schema, Snowflake Schema NoSQL & indexing technologies Cloud (GCP, Azure, AWS) Tableau, PowerBI

Education

Any Graduate