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GCP Data Engineer

3 months ago


Pune, Maharashtra, India EXL Full time
Experience

  • 610 YearsLocation
  • Pune


We are looking for a Data Engineer with experience in Big Data processing technologies and techniques to develop, test, deploy, and optimize our Data Warehouse Solution and Data models/products.

You will also need to work with our devops tooling to deliver continuous integration/deployment capabilities, automated testing, security and IT compliance.


Must-Have Skills:

Expert in database design, development and administration – understanding of relational and dimensional data models (and preferably Data Vault)Expertise in On-prem or Cloud Databases, Warehouses and Lakes.

Excellent understanding of GCP Architecting and solution design .Proven experience / solid knowledge in developing and optimization of SQL/T-SQL procedures in Traditional or Cloud Databases.

Coding and development of DDL and DML database components.

Excellent knowledge of DevOps tools like Ansible, Jenkins, Github ,Puppet, Chef etc .IT methodology/procedural knowledge; Agile/Scrum, DevOps and ITIL principles.

BS/MS degree in Computer Science, Engineering or a related subject.
Excellent communication and interpersonal skills in English. Proficiency in verbal, listening and written English is crucial.
Enthusiastic willingness to rapidly and independently learn and develop technical and soft skills as needs require.
Strong organizational and multi-tasking skills.
Good team player who embraces teamwork and mutual support.
Interested in working in a fast-paced environment.

Good to Have Skills:
Experience with application monitoring & Production Support.
Broad experience with IT development and collaboration tools.
An understanding of IT Security and Application Development best practice.
Understanding of and interest in various investment products and life cycle and the nature of the investment banking business.
Working in a global team with different cultures.

Responsibilities:
Design, build, test and deploy Google Cloud data models and transformations in BigQuery, environment (e.g. SQL, stored procedures, indexes, clusters, partitions, triggers, etc.)Deliver a data warehouse and pipelines which follow abstraction and 'database refactoring' best practice in order to support evolutionary development and continual change.

Protect the solution with appropriate Authorization and Authentication models, data encryption and other security components – this will include consumer registration and storage of identification and change management considerations.

Review and refine, interpret and implement business and technical requirements.
Ensure you are part of the on-going productivity and priorities by refining User Stories, Epics and Backlogs in Jira.
Manage code artefacts and CI/CD using tools like Git, Jenkins, Google Secrets Manager, etc.
Estimate, commit and deliver requirements to scope, quality, and time expectations.

Deliver non-functional requirements, IT standards and developer and support tools to ensure our applications are a secure, compliant, scalable, reliable and cost effective.

Write well-commented, maintainable and self-documenting code.

Fix defects and provide enhancements during the development period and hand-over knowledge, expertise, code and support responsibilities to support team.