Lead Data Engineer
1 week ago
Role Title:
Lead Data Engineer
Location of job:
E City Bangalore
Educational Qualification:
B.E in Computer science / MBA
Experience:
Years
Objective of role:
This person will be responsible for overseeing all engineering related activities of the team, ensuring proper execution of duties and alignment with the business's overall vision.
The person will work with cross functional teams across the company to provide advanced data management and analytical systems and services.
The ideal candidate will not only have broad data engineering experience, but will be passionate about emerging technologies, engineering and technology best practices.
He/she will also be an astute mentor, with the ability to balance appropriate delegation with timely, personalized mentorship.Roles and Responsibilities:
- Partner with internal teams and external vendors to ingest, store and enrich data throughout the organization within the enterprise data lake and underlying warehouses/data marts/etc
- Lead large-scale integration and re-platforming efforts with Customer facing digital assets, distribution channel platforms and websites – both internally and externally – to enhance the data
- Collaborate with Business leaders, Data Science, Infra and Digital App Development teams on implementing machine learning algorithms at scale to facilitate audience intelligence, segmentation and personalization initiatives
- Collaborate with Business Intelligence and extended analytics groups on data mart optimizations, query tuning, and data model designs with a focus on delivering actionable insights
- Work strategically to align data assets, storage, and computation/query layers to support long-term data platform goals, help define data models, publish metadata, guide best practice ETL standards
Mandatory Skills:
Classification:
- Proven ability to lead and mentor a highly technical engineering team while also demonstrating the ability to discuss, understand and synthesize solutions for the business needs and data management requirements of other organizational units
- More than 10+ years of experience in data engineering and data management
- Hands-on experience in designing and managing data lakes, data warehouses and downstream marts
- Hands-on experience with AZURE ecosystem (Databricks, Data factory, HDInsight, Event Hubs, AKS, Azure DevOps etc.)
- Exposure to modern development approaches (containerization, microservices, CI/CD)
- Hands-on experience with relational database platforms (Oracle, SQL Server, Postgres, MySQL)
- Solid understanding of real time (e.g. Kafka) and batch data processing frameworks, DAG schedulers (Airflow, Luigi, etc)
- Exceptional analytical, quantitative, problem-solving, and critical thinking skills
- Have a collaborative work style with strong desire to work in dynamic, fast paced environment that requires flexibility and ability to manage multiple priorities
- Masters/Bachelor's degree or equivalent experience in Computer Science, Information Science disciplines, or comparable STEM related degree
- Experience with online media data at scale (web/ad/video/email event streams, identity graphs/maps)
Nice-to-Have Skills:
- Architectural experience
- Strong Azure experience minimum 6years
- Knowledge on implementing CI / CD pipelines
Education Qualification:
- Bachelors in a technical discipline (engineering in computer science or equivalent).
- Masters of Business Admiration
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