Data Engineer

1 day ago

Pune, Maharashtra, India aQb Solutions Pvt Ltd Full time

We are looking for a highly skilled Data Engineer with strong expertise in PostgreSQL and hands-on experience in building data warehouses and data lakes. In this role, you will design and implement a scalable PostgreSQL-based data warehouse and manage a data lake on AWS infrastructure, leveraging primarily open-source technologies.

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 a plus.

Key ResponsibilitiesData Engineering & Architecture
  • Design, build, and maintain 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 (e.g., GDPR, HIPAA).
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 (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, CloudFormation).
  • 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 design and own 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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