Data Engineering Manager/Leader

Job Description : We're looking for a Manager, Data Engineering to join our Technology Team. As Manager, Data Engineering you'll lead a group of Data Engineers to build and support a data platform which provides all capabilities related to ingesting, transforming and processing large volumes of data that drives critical business outcomes. What you'll do : - Develop and coach a team of highly technical Data Engineers providing regular feedback and professional development opportunities - Provide thought leadership, pragmatic input, and detailed requirements in building the target state data lake/data mesh capabilities to support a variety of business models - Build relationships with stakeholders and work cross-functionally to identify areas of opportunities, process improvements, and data/technology-enabled innovations to define our data orchestration framework - Participate in the design and implementation of our next-generation data pipelines for Fintech industry - Actively collaborate with our engineering teams in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing and roll-out, and support - Work alongside our Product, leadership, and other internal and external teams, leveraging your experience and expertise in the data space to influence our product roadmap, developing innovative solutions that add additional capabilities to our tools - Partner end-to-end with Business Managers, Product Managers, and Data Scientists to understand customer requirements design prototypes, and bring ideas to production - Participate in conversations with your business teams about business-impacting topics and brainstorm innovative ways to transform data into information and knowledge that drives revenue Requirements : - Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience is required - Fintech background is Mandatory - Experience building and operating cloud-based, highly available, and scalable online serving or streaming systems utilizing large, diverse data sets in production - 10 years of experience in Data Engineering and 3 years directly managing engineers. - Expertise with diverse data technologies like Databricks, PostgreSQL, GraphDB, NoSQL DB, Mongo, Cassandra, Elastic Search, Snowflake, etc. - Strength in the majority of commonly used data technologies and languages such as Python, Java or Scala, Kafka, Spark, Airflow, Kubernetes, Docker, Argo, Jenkins, or similar - Expertise with all aspects of data systems, including ETL, aggregation strategy, performance optimization, and technology trade-off - Understanding of data access patterns, streaming technology, data validation, data modeling, data performance, cost optimization - Strong track record of leading teams and projects across many disciplines including data warehousing, business intelligence, application development, operations, data science, machine learning - Experience fostering a strong engineering culture in an agile environment - Collaborate with cross-functional teams to design and build a robust data access layer that enables seamless integration and sharing of data across multiple systems - Demonstrated ability to manage multiple projects and priorities - Excellent presentation skills; ability to distill complex analysis and concepts into concise business-focused takeaways - Strong interpersonal skills with the ability to manage ambiguity and conflicts both inside and outside the team (ref:hirist.tech)

Location: in, IN

Posted Date: 11/28/2024