Data Engineer

1 week ago

Mumbai, Maharashtra, India WTW External Careers Site Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Key Responsibilities:

  • Building and maintaining data pipelines for data integration and processing, ensuring data security and privacy prerequisites are followed. Create, monitor, and maintain data pipeline architecture.
  • Understand business requirement and actively provide inputs from Data perspective.
  • Understand the underlying data and flow of data.
  • Ensure data quality and accuracy through testing and validation
  • Optimize data processing performance through tuning and monitoring. Design and implement optimized data sets.
  • Maintains and enhances systems by fixing complicated errors, raising risks and escalating issues where necessary
  • Designs high-quality solutions in accordance with timelines and specifications to meet user requirements.
  • Ensures all activities adhere to the relevant processes, procedures, standards and technical design.
  • Proactively identifies and leads the implementation of continuous improvement items with the support of the Team Lead and Manager.
  • Adheres to the development coding standards, the operational framework and WTW Excellence guidelines.
  • Works closely with QA, Product/Business Analysts, and other Software Engineering functions to ensure high quality on-time delivery
  • Demonstrate learning adaptability, understanding of the implications of technical issues on business requirements and / or operations.
  • Create reports and visualizations providing insight into data sets.
  • Troubleshoot and resolve data pipeline and reporting performance issues.

Knowledge and Experience:

  • A Bachelor's/College Degree would be beneficial and extensive experience in a technology related discipline, such as IT or Engineering is required
  • 7+ years experience as a Data Engineer.
  • Knowledge in code quality, performance and security
  • Experience on source code control systems 
  • Familiarity on continuous delivery and continuous integration practices
  • Willingness to work in a fast-paced collaborative team environment that has tight deadlines. 
  • Ability to learn and evaluate new tools, concepts, and challenges quickly. 
  • Client service focus and flexibility in supporting client requests. 
  • Strong analytical and problem-solving skills. 
  • Commitment to quality and continuous improvement. 
  • Strong written and verbal communication skills. 
  • Proficient in Azure Data Factory. Experience building and optimising data pipelines, architectures, and data sets
  • Experience with Azure data storage solutions such as Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage
  • Basic understanding of data modeling- OLTP vs dimensional modeling is preferred
  • Experience creating reports using Power BI.
  • Experience with relational databases and proficiency using SQL

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