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Lead Data Engineer

5 - 10 years

9 - 13 Lacs

Posted:13 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

At Modern, we are seeking a highly motivated and focused Data Engineers with a proven consulting background to join our Client Technology Team. As lead data engineers, you will act as a subject matter expert for our Enterprise Data Product Platform, DataOS . As a subject matter expert, you would provide technical expertise in needs identification, data modeling, data movement, and translating business needs into technical solutions.
Responsibilities:
  • Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.
  • Work closely with various stakeholders including business teams, data stewards, various consumers to define data product roadmap and bring them to fruition.
  • Design and build a scalable, fault-tolerant solutions optimized for distributed computing and large-scale data processing using DataOS
  • Optimize Spark-based workflows for performance, scalability, and cost efficiency.
  • Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.
  • Actively participates with other consultants in problem-solving and approach development.
  • Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.
  • Coordinate with Data Architects, Program Managers and participate in recurring meetings.

    Requirements
    • Bachelor\u2019s degree in computer science, business analytics or similar discipline.
    • 5+ years of experience in data engineering, architecture, or analytics roles.
    • Strong working knowledge of Spark, Python, SQL and API Integration frameworks is a must
    • Working experience in Modern data architecture and modeling concepts, including Cloud data lakes, data warehouses, and data marts. Familiarity with dimensional modeling, star schemas, and real-time/batch ETL pipelining including experience with data streaming (Kafka).
    • Expertise in ensuring data quality and reliability using monitoring and validation techniques.
    • Working experience with tools such as DBT, Airflow, or similar is a plus
    • Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).
    • Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

      Benefits
      Working at Modern
      First and foremost, our value system is sacred to us \u2013 HEAT: Humility, Empathy, Accountability and Transparency. Beyond this, we are fond of individuals who are curious, love solving problems and can see the larger picture. We love to take a leap of faith on potential. If you believe you haven\u2019t had the chance to do your life\u2019s best work, Modern is the place for you.
      Modern embraces competition for great talent. We have been able to get great talent onboard owing to the attractive compensation and benefits we provide, in addition to the upside we share with all our employees in the form of ESOPs. Moreover, our ESOP policies are highly employee-friendly replicating ethos of some of the best Silicon Valley tech startups. We are committed to making sure our employees create significant value for themselves.

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