Senior Manager - Data Engineering (13-17 yrs)

What you'll be doing :

- As a Senior Manager for Data Engineering team, you will manage data platforms and implement new technologies and tools to further enhance and enable data science/analytics, focusing on driving scalable data management and governance practices.

- Leading the team of data engineers & solutions architects to deliver solutions to business teams.

- Driving the vision with leadership team for data platforms enrichment covering the areas like Data Warehousing/Data Lake/BI across the portfolio.

- Defining and executing on a plan to achieve that vision.

- Building a high-quality Data engineering team and continue to drive to scale up.

- Ensuring the team adheres to the standard methodologies on data engineering practices.

- Building cross-functional relationships with Data Scientists, Data Analysts and Business teams to understand data needs and deliver data for insight solution.

- Driving the design, building, and launching of new data models and data pipelines.

- Driving data quality across all data pipelines and related business areas.

- In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we're looking for :

- You are curious and passionate about Data and highly scalable data platforms.

- People count on you for your data management expertise in all software development cycle phases.

- You create environments where teams thrive and feel valued, respected, and supported.

- You enjoy the challenge of managing resources and competing priorities in a dynamic, complex and deadline-oriented environment.

- Building effective working relationships with other organizational managers comes naturally to you.

You'll need to have :

- Bachelor's degree or four or more years of work experience.

- Eight or more years of relevant work experience.

- Two or more years of experience in leading the team and tracking the end-to-end deliverables.

- Experience in end-to-end delivery of Data Platform Solutions and working on large scale data transformation.

- Knowledge of Google Cloud Platform/BigQuery, Data Flow,

- Knowledge of Spark, Hive, Scala, Kafka, Java/Python, Shell scripting.

- Knowledge of Teradata.

- Experience in working with DevOps tools like Bitbucket, Artifactory, Jenkins.

- Knowledge of Data Governance and Data Quality.

- Experience in building / mentoring the team.

Even better if you have one or more of the following :

- Master's degree.

- Experience in data engineering, GCP, big data, hadoop and DevOps technologies.

- Certifications in any Data Warehousing/Analytical solutioning.

- Certification in program/project management.

- Experience in technical leadership in architecture, design, implementation and support of large-scale data and analytics solutions that are highly reliable, flexible, and scalable.

- Ability to meet tight deadlines, multi-task, and prioritize workload.

- Experience in collaborating with cross-functional teams and managing stakeholder expectations.

- Experience in working with globally distributed teams.

- Good Communication and Presentation skills.