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Data Leader

Discover Dollar

Discover Dollar

Bengaluru, Karnataka, India
Posted 6+ months ago
The Data Leader will focus on data engineering and data science to optimize our data practices and decision-making systems. This role will lead ETL processes, data pipeline development, and advanced analytics efforts, with a strong emphasis on Generative AI, working with large datasets. You will drive business insights, enable advanced analytics, and develop sustainable solutions that support the company's strategic goals.

Roles And Responsibilities

  • Team Development and Leadership: Build and mentor high-performing data engineering, data science and data analysis teams by promoting a collaborative, open, and growth-oriented culture.
  • Strategic Planning: Define the strategy and roadmap for the Discover Dollar data platform, ensuring alignment with business and technological objectives.
  • System Architecture: Design and implement scalable, fault-tolerant distributed systems for data ingestion, processing, and analytics.
  • Cross-Functional Collaboration: Partner with product, business, and data science teams to gather requirements, prioritize tasks, and develop impactful solutions.
  • Hands-On Problem Solving: Contribute to coding when necessary to resolve complex challenges or provide architectural insights.
  • Operational Excellence: Advocate for and implement best practices in software development, deployment, monitoring, and incident management.
  • Innovation and Growth: Drive initiatives to adopt emerging technologies and enhance the capabilities of the Discover Dollar data platform.
  • Project Ownership: Take full ownership of projects, ensuring high quality, scalability, and timely delivery.

Technical Expertise

  • Data Engineering and Architecture: Proficient in ETL processes, analytical platforms, and event-driven architectures.
  • Programming Proficiency: Advanced knowledge of Python, Pyspark and SQL, with a strong understanding of distributed data systems.
  • Pipeline Design: Experienced in creating real-time and batch data pipelines using tools like Kafka, Spark, Azure Data Factory, and Databricks and Azure Synapse Analytics.
  • Cloud and DevOps Tools: Hands-on experience with cloud platforms such as Azure, along with tools like Docker.
  • DataOps and Data Governance: Well-versed in DataOps and Version Control and data governance platforms like Unity Catalog.

Education & Experience

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • 6+ years of experience in data engineering, analytics, or related fields.
  • Strong expertise in ETL processes, SQL, Python, Spark and cloud-based data solutions.
  • Proficiency in data warehousing solutions, including Azure, Redshift, Snowflake, or similar.
  • Solid understanding of API development and integration.
  • Strong problem-solving and communication skills, with the ability to collaborate across cross-functional teams.
  • Experience with advanced machine learning models and deployment strategies.