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Capco

Advises banks, insurers and energy companies

Datahub L3

Data EngineeringConfirmed live in the last 24 hours
Full-timeMumbai, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • Five to seven years of experience creating data-warehousing solutions using IBM DataStage.
  • Strong background in data-warehousing concepts, ETL pipelines and performance tuning.
  • Strong hands-on SQL programming experience creating procedures and functions and writing complex SQL queries.
  • Strong hands-on Python programming experience, including object-oriented programming concepts, reusable utilities, exception handling, debugging and clean code practices.
  • Hands-on experience with GitLab, Jenkins, Ansible or similar tools to automate builds and deployments.
  • Experience with AutoSys or another scheduling tool.
  • Experience using ALM/QC, Jira, Confluence and SharePoint.
  • Experience working in an Agile environment.
  • A Bachelor's degree in IT or a computer-related field, or equivalent experience.
  • Excellent oral and written communication skills.
  • Ability to integrate into a French-Indian agile extended team.

Responsibilities

  • Design, build and maintain data pipelines in IBM DataStage to ingest, transform and expose data from source systems, including relational databases and flat files, into the enterprise data warehouse.
  • Apply data-warehousing concepts, including dimensional modeling, slowly changing dimensions, and star and snowflake schemas, to support analytical reporting and business intelligence consumption.
  • Develop Python and shell scripting code to automate day-to-day tasks.
  • Ensure data quality and consistency by defining validation rules and implementing unit tests and automated data-quality checks.
  • Collaborate with data architects and business analysts to translate functional requirements into technical specifications, functional designs and implementation plans.
  • Document technical and functional artifacts, including design specifications, data dictionaries and operational runbooks, and contribute to the Data Tribe knowledge base.
  • Set up continuous integration and continuous delivery pipelines using GitLab to automate testing, versioning and deployment across development, test and production environments.
  • Support production incidents, perform root-cause analysis, and apply fixes and preventive measures.
  • Establish coding standards, perform architectural reviews and mentor junior engineers.
  • Participate in squad ceremonies, including stand-ups, sprint planning and retrospectives.
  • Adhere to Group standards for coding conventions, security, data governance and continuous integration and delivery.
  • Share insights about data-warehouse trends and emerging technologies to promote continuous learning.
  • Work with cross-functional teams, including data scientists, business intelligence and business units, to understand data needs and deliver reliable solutions.

Desired Qualifications

  • Exposure to data-visualization tools such as Power BI or Tableau.
  • Knowledge of banking products.

About the Company

Capco

Advises banks, insurers and energy companies

Capco advises banks, payment companies, insurers, asset managers, and energy firms on strategy, regulation, and technology, and unlike generalist consultancies it sticks to finance and energy. In 2021, Capco became the largest acquisition in the history of Indian IT services company Wipro, which bought it to expand its consulting for banks. Clients hire Capco teams to redesign operations, comply with regulations, modernize payment and trading systems, and adopt AI under strict risk controls, while its engineers build the software behind those changes. Clients pay for consultants' time or a fixed project price, and Capco staff often work on site with client teams. Capco was founded in Belgium in 1998 and is based in London.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$80M
Headquarters
London, United Kingdom
Founded
1998

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