Senior Data Engineer

Hyderabad, Telangana, India

Citco

At Citco, we don't just provide bespoke solutions and better results. We’re a true partner dedicated to developing rich, long-term relationships through gold standard services.

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  • 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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Category: Engineering Jobs

Tags: Agile AWS Business Intelligence Data analysis Databricks Data pipelines ETL Git ITIL JSON Oracle Pipelines Python RDBMS SQL Testing T-SQL

Region: Asia/Pacific
Country: India

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