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Engineering Lead - Data Infrastructure, VP

Deutsche Bankpune, India

6 hours ago

Job description

Description

DWS’s data infrastructure team provides the secure, scalable and trustworthy foundation for storing, processing and distributing critical enterprise data. As Engineering Lead for data infrastructure, you drive the design, built, and continuous improvement of our cloud-based and on-prem data platforms and the pipes between them. You’ll align closely with the CTO Data and lead a high-impact squad, setting technical direction, mentoring team members and contributing directly to architecture and code.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

Best in class leave policy
Gender neutral parental leaves
100% reimbursement under childcare assistance benefit (gender neutral)
Sponsorship for Industry relevant certifications and education
Employee Assistance Program for you and your family members
Comprehensive Hospitalization Insurance for you and your dependents
Accident and Term life Insurance
Complementary Health screening for 35 yrs. and above

Your key responsibilities

Lead, grow, and mentor a high impact data platform engineering team

Hands-on contribution into software development efforts

Own end-to-end architecture and design of a variety of data platform components – all the way from data ingestion to distribution

Model, test, collaborate (to understand requirements, create stories, and design solutions), implement and help test requirements

Contribute to the development of testing and quality control processes and policies for the organization

Collaborate with architects, security engineers, control functions, the Chief Data Office and other stakeholder to improve compliance, security posture and reliability

Work with product owners to translate product vision and demand into platform capabilities

Your skills and experience

12+ years of experience in platform-, data engineering or an adjacent field, preferably with strong focus on enterprise data platforms. Degree in Computer Science, Engineering, Information Technology, or a related field is a plus

Very strong expertise in the modern data stack, including cloud-based data platforms such as GCP BigQuery, Snowflake, and the ecosystem around them

Extensive experience in operating production cloud infrastructure, especially Google Cloud, in complex enterprise environments

Proficiency with IaC (e.g. Terraform), automation tooling, orchestration tooling (e.g. dbt, Airflow)

Good understanding of data governance, security, and IT compliance in highly regulated environments

Very good programming skills in Python and / or Java

Experience with development utilizing software development life cycle (SDLC) tools including Git, JIRA, Artifactory, Jenkins / TeamCity, OpenShift

Experience in growing and leading highly performing engineering teams

Strong problem-solving skills, strategic thinking and attention to detail

Fluent in English (written and spoken)

How we’ll support you

Training and development to help you excel in your career

Coaching and support from experts in your team

A culture of continuous learning to aid progression

A range of flexible benefits that you can tailor to suit your needs

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Data Engineering Lead • pune, India

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