Master Data Strategist

6 hours ago

Nagpur, Maharashtra, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Engineer - Subject Matter Expert

We are seeking an experienced Senior Data Engineer to join our team in designing, building, and maintaining a modern data platform.

Key Responsibilities:
  • Data Pipeline Design: Develop efficient, scalable ETL/ELT pipelines and data flows utilizing dbt, Airflow, and Apache Spark.
  • Transformation Models: Create optimized transformation models using dbt and orchestrate pipelines via Airflow.
  • Large-Scale Processing: Optimize large-scale processing jobs in Apache Spark for improved performance.
  • Database Management: Tune and manage relational and analytical databases (PostgreSQL, Snowflake) for optimal performance.
  • Schemas and Architecture: Architect and maintain schemas using Star Schema, 3NF, and SCD2 methodologies.
  • Lakehouse Architecture: Design and support lakehouse architectures and scalable storage solutions.
  • Data Governance: Implement and enforce data governance, validation, and quality control mechanisms.
  • DevOps Standards: Maintain DevOps standards using CI/CD, GitFlow, and containerization tools like Docker and Ansible.
Requirements:
  • Advanced SQL Skills: Advanced proficiency in SQL and ETL/ELT design.
  • Strong Experience: Strong experience with dbt, Airflow, and Spark.
  • Data Modeling Techniques: Deep understanding of data modeling techniques (Star Schema, 3NF, SCD2).
  • Optimization and Tuning: Proven ability to optimize and tune PostgreSQL and Snowflake for performance.
  • Lakehouse Architecture Principles: Familiarity with lakehouse architecture principles and tools.
  • Data Governance Frameworks: Solid experience in data governance, validation frameworks, and pipeline monitoring.
  • CI/CD Pipelines: Strong grasp of GitFlow, CI/CD pipelines, and containerization (Docker/Ansible).
  • Collaboration: Ability to work independently and collaborate across teams in a dynamic environment.
Preferred Qualifications:
  • Cloud Platforms: Hands-on experience with cloud platforms (AWS, GCP, Azure).
  • IaC Tools: Familiarity with IaC tools and DevOps best practices.
  • Regulated Environments: Experience working in regulated or enterprise environments with strict data governance policies.

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