Data Engineer with experience on Assembling large complex sets of data that meet nonfunctional and functional business requirements. Identifying designing and implementing internal process improvements including redesigning infrastructure for greater scalability optimizing data delivery and automating manual processes Building required infrastructure for optimal extraction Transformation and loading of data from various data sources using GCP and SQL technologies Strong in Java Spark Scala Hans on experience on Python Building analytical tools to utilize the data pipeline providing actionable insight into key business performance metrics including operational efficiency and customer acquisition Experience Working with stakeholders including data design product and executive teams and assisting them with datarelated technical issues Experience Working with stakeholders including the Executive Product Data and Design teams to support their data infrastructure needs while assisting with datarelated technical issues
Expectations from this role: Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others developmental activities; assisting Project Manager in day to day project execution.
1. Interpret the application feature and component designs to develop the same in accordance with specifications. 2. Code debug test document and communicate product component and feature development stages. 3. Validate results with user representatives integrating and commissions the overall solution. 4. Select and create appropriate technical options for development such as reusing improving or reconfiguration of existing components while creating own solutions for new contexts 5. Optimises efficiency cost and quality. 6. Influence and improve customer satisfaction 7. Influence and improve employee engagement within the project teams 8. Set FAST goals for selfTypical performance measures: 1. Adherence to engineering process and standards (coding standards) 2. Adherence to project schedule / timelines 3. Number of technical issues uncovered during the execution of the project 4. Number of defects in the code 5. Number of defects post delivery 6. Number of non compliance issues 7. Percent of voluntary attrition 8. On time completion of mandatory compliance trainingsPerformance Areas: Code: Code as per the design Define coding standards templates and checklists Review code for team and peers
Documentation: Create/review templates checklists guidelines standards for design/process/development Create/review deliverable documents. Design documentation requirements test cases and results
Configure: Define and govern configuration management plan Ensure compliance from the team
Test: Review/Create unit test cases scenarios and execution Review test plan created by testing team Provide clarifications to the testing team
Domain relevance: Advise software developers on design and development of features and components with deeper understanding of the business problem being addressed for the client Learn more about the customer domain and identify opportunities to provide value addition to customers Complete relevant domain certifications
Manage Project: Support Project Manager with inputs for the projects Manage delivery of modules Manage complex user stories
Manage Defects: Perform defect RCA and mitigation Identify defect trends and take proactive measures to improve quality
Estimate: Create and provide input for effort and size estimation and plan resources for projects
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