Bangalore, Karnataka, India
Information Technology
Full-Time
The Citco Group Limited
Overview
Job Description
- Analysis, design, development, support and maintenance of DW, Data Lake and Lakehouse infrastructures
- Technical expertise on data pipelines and ETL processes.
- Solid understanding of SQL and Data Modelling
- Hands on experience with Databricks on AWS cloud solutions
- In-depth knowledge of Databricks ETL and Orchestration, notebook development and job scheduling
- Collaborate with cross-functional teams of business analysts, business users and IT stakeholders gathering, documenting, analysing and implementing requirement
- Collaborate with multiple teams to develop and maintain data pipelines, harvesting data from systems of records to create data products
- Create and optimize relational databases schema, tables, indexes, views, and stored procedures
- Perform data migration, transformation, and integration tasks between different database systems
- Develop and maintain ETL processes to load and transform data from various sources
- Work with other development groups to advise, guide and assist in their integrations
- Familiarity with version control systems (e.g. GIT) and Agile development methodologies
- Interact with vendor for support and consultancy
- Work directly with reporting manager to ensure clear and accurate communication of current status, dependencies and estimated delivery timelines
- Clearly communicate issues, risks and proposed solutions to relevant stakeholders
- Coordinate the release process with business groups, operations in compliance with ITIL Change Management discipline
- Communicate detailed descriptions of functionality changes and provide follow up support as required
- Support QA testing
- Provide direction & support to the Business Divisions for User Acceptance Testing
- Utilizing Reporting tools to rapidly create, modify, refresh and update dashboards and reports
- Experience with business intelligence, data analysis, data modelling and visualization solutions on Cloud, on-premises and hybrid
- experience in Databricks on Amazon Web Services cloud computing platforms
- Experience with Databricks platform
- Experience with Python, SQL, relational database objects (Oracle and/or SQL Server) and procedural languages (PL/SQL and/or T-SQL)
- Experience with Version Control systems
- Web Services integration using REST/SOAP/JSON
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