Senior Data Science Leader

7 days ago

Nellore, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 30,00,000 - ₹ 40,00,000

**Job Overview:**

We are seeking a Senior Data Engineer to lead the construction and optimization of our data pipeline architecture. This role is critical in facilitating data-related functionalities and collaborating closely with data scientists and analysts.

**Key Responsibilities:**

  • Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders.
  • Architect, build, and maintain robust, high-throughput data pipelines and infrastructure to support advanced analytics and machine learning.
  • Partner with data architects, data scientists, and analysts to design solutions that meet evolving data requirements and business objectives.
  • Establish best practices for data quality, governance, security, and compliance; implement automated frameworks for cleaning, validation, correction, and enrichment.
  • Drive continuous improvement in data engineering processes by identifying bottlenecks, reducing manual effort through automation, and advancing scalability standards.

**Requirements & Qualifications:**

  • A minimum of 6 years of professional experience in data engineering, with a proven track record of leading large-scale, complex projects.
  • Deep expertise in modern cloud data warehouses (Snowflake, Redshift, or BigQuery).
  • Advanced SQL skills and strong experience with relational and columnar database systems.
  • Proficiency in data pipeline/workflow orchestration tools (e.g., Apache Airflow, Dagster, Luigi).
  • Solid programming background (Python, Scala, or Java) for data processing and automation.
  • Experience designing data models and schemas for both operational and analytical use cases.
  • Strong analytical and problem-solving skills, thriving in fast-paced, high-growth environments.

**What We Offer:**

  • Opportunity to work on cutting-edge technology and drive innovation in the field of data engineering.
  • Collaborative and dynamic work environment.
  • Competitive compensation and benefits package.
  • Professional development opportunities.

**About Us:

Our mission is to make nutritious food accessible and affordable for everyone. We are committed to a set of core values that shape our culture and work environment.

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