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Engineering Lead - Data Infrastructure, VP

Engineering Lead - Data Infrastructure, VP

Deutsche Bank

12 - 17 years

40 - 45 Lacs

pune

Posted:6 days ago| Platform:

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Skills Required

python production java gcp cloud infrastructure artifactory snowflake continuous integration kubernetes openshift airflow microsoft azure iac data engineering software development life cycle git devops jenkins teamcity vp bigquery aws sdlc jira

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role :
Job Title
Engineering Lead - Data Infrastructure
LocationPune, India
Corporate TitleVP
Role Description
DWSs 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. Youll 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.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)

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Engineering Lead - Data Infrastructure, VP