Data Engineer

15 hours ago

India AQb Solutions Pvt Ltd Full time
We are looking for a highly skilled Data Engineer with strong expertise in Postgre SQL and hands-on experience in building data warehouses and data lakes.

In this role, you will design and implement a scalable Postgre SQL-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 Responsibilities Data Engineering & Architecture Design, build, and maintain a Postgre SQL-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 Postgre SQL.

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 Qualifications3+ years of hands-on experience in data engineering or data platform development.

Expertise in Postgre SQL: 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, 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 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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