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Senior Data Platform Developer

3 weeks ago


Anantapur, Andhra Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Overview

We are seeking a highly skilled Senior Data Engineer to design, build, and maintain our modern data platform.

This role is perfect for someone with deep technical expertise in ETL pipeline design, data modeling, and data infrastructure who thrives in a fast-paced, engineering-driven environment.

The ideal candidate will work across the full data stack—from ingestion and transformation to orchestration and delivery—playing a key role in scaling our analytics and reporting capabilities.

Key Responsibilities
  • Data Engineering Tasks: Design and implement efficient, scalable ETL/ELT pipelines and data flows
  • Transformation Models: Develop using dbt and orchestrate via Airflow
  • Large-Scale Processing: Optimize jobs in Apache Spark
  • Database Management: Tune and manage relational and analytical databases (PostgreSQL, Snowflake)
  • Schemas and Architecture: Architect and maintain schemas using Star Schema, 3NF, and SCD2 methodologies
  • Lakehouse Solutions: Design and support lakehouse architectures and scalable storage solutions
  • Data Governance: Implement and enforce data governance, validation, and quality control mechanisms
  • DevOps Standards: Maintain using CI/CD, GitFlow, and containerization tools like Docker and Ansible
Required Skills and Qualifications
  • Advanced SQL Proficiency: Strong experience with SQL and ETL/ELT design
  • dbt, Airflow, and Spark Expertise: Deep understanding of data modeling techniques (Star Schema, 3NF, SCD2) and strong experience with these technologies
  • Data Modeling Techniques: Proven ability to optimize and tune PostgreSQL and Snowflake for performance
  • Lakehouse Principles: Familiarity with lakehouse architecture principles and tools
  • Data Validation Frameworks: Solid experience in data governance, validation frameworks, and pipeline monitoring
  • GitFlow and CI/CD Pipelines: Strong grasp of GitFlow, CI/CD pipelines, and containerization (Docker/Ansible)
  • Collaboration and Independence: Ability to work independently and collaborate across teams in a dynamic environment
Benefits and Culture
  • Competitive Compensation: Competitive compensation and performance-based incentives
  • Flexible Working Hours: Flexible working hours and remote-first culture
  • Opportunity to Scale: Opportunity to shape and scale a modern data platform
  • Collaborative Environment: A collaborative, engineering-led environment where your voice matters
  • Access to Technology: Access to cutting-edge technology and tools