Chief Data Architect

1 week ago

Ellore, Andhra Pradesh, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Opportunity: Data Engineer

Our company is seeking a talented and experienced Data Engineer to join our team. As a Data Engineer, you will play a critical role in designing, building, and maintaining scalable data warehouses and data lakes using PostgreSQL and AWS infrastructure.

The ideal candidate has a strong foundation in SQL engineering, cloud data architectures, and modern data pipelines. Experience with hosted data warehouse platforms such as DBT, Snowflake, or Databricks is highly valued.

Key Responsibilities:

  • Data Engineering & Architecture:
    • Design and implement a PostgreSQL-based data warehouse for scalable analytics and reporting.
    • Develop and manage data pipelines (batch and streaming) for ingestion, transformation, and storage.
    • Architect and maintain a data lake on AWS infrastructure (e.g., S3, Glue, Athena, Redshift Spectrum).
    • Optimize queries, indexing, and schema design for performance and scalability in PostgreSQL.
    • Ensure solutions align with modern open-source data engineering best practices.
  • Collaboration & Delivery:
    • Work closely with product, analytics, and engineering teams to deliver high-quality, reliable data solutions.
    • Translate business and analytics requirements into scalable data models and pipelines.
    • Provide technical expertise to support data-driven decision-making across the organization.
  • Data Quality & Governance:
    • Implement data quality checks, lineage tracking, and metadata management.
    • Ensure compliance with data security and governance standards.
  • Future-Readiness:
    • Stay current with modern data engineering tools and frameworks.
    • Provide guidance on evaluating and integrating DBT, Snowflake, or Databricks as needed.

Required Qualifications:

  • 3+ years of hands-on experience in data engineering or data platform development.
  • Expertise in PostgreSQL: advanced SQL, query optimization, schema design, and data modeling.
  • Strong experience building ETL/ELT pipelines using Python or open-source frameworks.
  • Proficiency with AWS services (S3, Glue, Athena, Redshift Spectrum, Lambda, etc.).
  • Experience managing structured and unstructured data at scale.
  • Solid programming skills in Python.
  • Familiarity with open-source data frameworks.

Preferred Qualifications:

  • Exposure to DBT, Snowflake, or Databricks for hosted data warehousing.
  • Experience with infrastructure-as-code tools.
  • Knowledge of data governance and cataloging tools.
  • Cloud certifications.
  • Experience in regulated industries.

What We Offer:

  • A collaborative environment with mentorship from senior data and engineering leaders.
  • Flexibility to innovate and work with open-source-first approaches.
  • Remote-first culture with growth opportunities in data architecture and leadership.
  • Opportunity to own enterprise-level data platforms with modern tech.

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