Lead Data Test Engineer

IND - KA - Bangalore - Outer Ring Road, India

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First Citizens Bank

First Citizens provides a full range of banking products and services to meet your individual or business financial needs. Learn more about our products and services such as checking, savings, credit cards, mortgages and investments.

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FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company’s over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long-term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients’ greatest ambitions.

Job Description:

Value Preposition

  • Lead quality engineering activities for large-scale data platforms, data lakes and cloud solutions.
  • Responsible for ensuring the quality and reliability of data pipelines, databases, data integration processes, and applications by designing, implementing, and executing comprehensive testing strategies. 

Job Details

Position Title:  Lead Data Test Engineer

Career Level:  P3

Job Category: Manager

Role Type: Hybrid

Job Location: Bangalore  

About the Team:

The data engineering team is community of dedicated professionals committed to designing, building, and maintaining data platform solutions for the organization.

Impact (Job Summary/Why this Role Matters)

Enterprise data warehouse supports several critical business functions for the bank including Regulatory Reporting, Finance, Risk steering, and Customer 360. This role is vital for building and maintaining enterprise data platform, data processes, and to support business objectives. Our values — inclusivity, transparency, and excellence — drive everything we do. Join us and make a meaningful impact on the organization.

Key Deliverables (Duties and Responsibilities)

  • Responsible for developing a comprehensive approach to testing, including defining objectives, scope, and methodologies.
  • Creating a test plan that outlines how testing will be conducted, including timelines, resources, and responsibilities.
  • Leading the team in designing, developing, and maintaining test cases to ensure comprehensive coverage of requirements. 
  • Overseeing the execution of test cases, including manual and automated testing, and ensuring proper documentation of test results. 
  • Identifying, reporting, triaging and tracking defects discovered during testing by assigning proper severity, priority, and defect resolution(s). 
  • Analyzing test results and delivering insightful reports on testing effort status, including defect density, test coverage, and pass/fail rates. 
  • Developing and maintaining test automation frameworks and scenarios to improve efficiency and reliability of testing.
  • Refining and enhancing existing frameworks and automating testing processes wherever possible.
  • Ensuring that testing efforts cover all critical areas of the data platform/data warehouse including functional, performance, and security testing.
  • Analyzing test coverage data and identifying areas for improvement and optimization.
  • Identifying and mitigating potential risks associated with the testing process.
  • Collaborating with other stakeholders, including developers, product managers, and business analysts, to ensure effective testing and quality assurance. 
  • Communicating test results and findings to stakeholders in a clear and concise manner. 
  • Managing resources, including test engineers and tools, to ensure effective testing efforts. 
  • Prioritizing testing activities based on risk and impact. 
  • Identifying opportunities to improve the testing process and implement best practices. 
  • Tracking and measuring key metrics to assess the effectiveness of testing efforts. 
  • Actively participate in Sprint Planning, Daily Stand-up, Sprint Review, and Sprint Retrospective to ensure key business deliverables are met with high quality standards. 

Skills and Qualification (Functional and Technical Skills)

Functional Skills:

  • Team Player: Support peers, team, and department management.
  • Communication: Excellent verbal, written, and interpersonal communication skills.
  • Problem Solving: Excellent problem-solving skills, incident management, root cause analysis, and proactive solutions to improve quality.
  • Partnership and Collaboration: Develop and maintain partnership with business and IT stakeholders.
  • Attention to Detail: Ensure accuracy and thoroughness in all tasks.

Technical/Business Skills:

  • Data Engineering:
    • Experience in designing robust test strategies for testing modern data platforms, data warehouse and data lakes.
    • Good knowledge of data warehouse principles, and concepts.
    • Technical expertise working in large scale Data Warehousing applications and databases such as Oracle, Netezza, Teradata, and SQL Server.
    • Understanding data pipeline architectures and tools like Apache Spark, Apache Kafka, or Apache Airflow for data transformation and loading. 
    • Experience with data warehousing platforms (e.g., Snowflake, Redshift) and data lake technologies (e.g., Hadoop, Spark). 
    • Familiarity with ETL (Extract, Transform, Load) processes and data validation within the ETL pipelines. 
  • Data validation skills:
    • Ability to develop comprehensive test plans, identify test cases, and prioritize testing efforts. 
    • Ability to analyze data to identify patterns, anomalies, and potential issues, including the use of tools like Pandas or Spark. 
    • Exposure in testing data pipelines/frameworks built using any of industry leading ETL tools such as SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS), IBM Data Stage & SSIS.
    • Experience of ELT tools such as DBT, Fivetran, and AWS Glue
    • Knowledge of test frameworks like PyTest, Unit Test & DBT for automated testing. 
    • Ability to automate data validation tasks using scripting languages like Python or similar. 
  • Proficiency in various data validation methods, including data type validation, range validation, format validation, presence checks, pattern matching, cross-field validation, and uniqueness checks. 
  • Experience with test management tools like Jira Xray, Zephyr, Synapse for effectively managing the test cases, test execution results, defects, and reports.
  • Proficiency in writing and optimizing SQL queries for data manipulation, retrieval, and analysis. This includes using joins, subqueries, windows functions, and other advanced features. 
  • Experience in using SQL for testing data integrity, data transformations, and ETL processes. 
  • Strong knowledge in understanding data architecture, data design patterns, modeling, and cloud data solutions (Snowflake, AWS Redshift, Google BigQuery) and coming up with effective test strategies and test cases.
  • Having good experience in testing any of scheduling tools like Redwood, Control M & Airflow.
  • Having good experience in testing any of data delivery reporting tools like PowerBI, Tableau & Cognos.
  • Sound knowledge in leveraging any of third-party tools or custom framework for data validation and data quality.
  • Data Model: Expertise in understanding Logical and Physical Data Model using Relational or Dimensional Modeling practices, high volume ETL/ELT processes.
  • Performance testing of data pipelines and DB Objects to identify and raise if there are any performance bottlenecks.
  • Experience in Gitlab version control and CI/CD processes.
  • Experience working in Financial Industry is a plus.
  • Having exposure to Master Data Management concepts is a plus.
  • Having exposure to Informatica SaaS MDM, Informatica IDQ is a plus.

Relationships & Collaboration

  • Reports to: Associate Director - Data Engineering
  • Partners: Senior leaders and cross-functional teams
  • Leads: A team of Data Engineering associates

Accessibility Needs

We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience.

Equal Employment Opportunity

FC Global Services India LLP (First Citizens India) is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive and accessible environment and prohibit all forms of discrimination on the basis of gender, religion, caste, disability, sexual orientation, economic status or any other characteristics protected by the law. We strive to foster a safe and respectful environment in which all individuals are treated with respect and dignity. Our EEO policy ensures fairness throughout the employee life cycle.

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Tags: Airflow Architecture AWS AWS Glue BigQuery CI/CD Data management Data pipelines Data quality Data warehouse Data Warehousing dbt ELT Engineering ETL Finance FiveTran GitLab Hadoop Informatica Jira Kafka Oracle Pandas Pipelines Power BI Python Redshift Security Snowflake Spark SQL SSIS Tableau Teradata Testing

Perks/benefits: Team events Transparency

Region: Asia/Pacific
Country: India

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