Data Platform Architect

19 hours ago

India beBeeDataEngineering Full time ₹ 12,00,000 - ₹ 24,00,000
Job Title: Data Engineer

We are seeking a seasoned Data Engineer with exceptional expertise in Postgre SQL and hands-on experience building scalable data warehouses and lakes.

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

Required Qualifications:

  • Minimum 3 years of hands-on experience in data engineering or data platform development.
  • Advanced expertise in Postgre SQL: query optimization, schema design, and data modeling.
  • Strong experience building ETL/ELT pipelines using Python or open-source frameworks (e.g., Airflow, dbt).
  • Proficiency with AWS services (S3, Glue, Athena, Redshift Spectrum, Lambda, etc.).
  • Experience managing structured and unstructured data at scale.
  • Solid programming skills in Python (or similar).
  • Familiarity with open-source data frameworks (e.g., Apache Spark, Kafka).

Preferred Qualifications:

  • Exposure to DBT, Snowflake, or Databricks for hosted data warehousing.
  • Experience with infrastructure-as-code tools (Terraform, Cloud Formation).
  • Knowledge of data governance and cataloging tools.
  • Cloud certifications (e.g., AWS Data Analytics Specialty).
  • Experience in regulated industries (healthcare, finance, life sciences).

What We Offer:

  • Opportunity to build enterprise-level data platforms with modern tech.
  • 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.

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