We are looking for a Software Consultant - Data Engineer to contribute to the development and delivery of scalable, secure, and reliable data engineering and software solutions for our product platform.
Responsibilities
Build and run ETL/ELT pipelines in Python (Pandas) to meet freshness, latency, and completeness SLOs.
Write high-performance SQL for PostgreSQL and Trino; design and maintain dimensional models and curated datasets.
Architect and operate AWS data solutions (S3, Glue, Athena) with a focus on scalability, resiliency, performance, and cost.
Implement IaC with Terraform and set up automated CI/CD on AWS (testing, security scans, deployments).
Embed security: least-privilege IAM, secure coding, secrets management, encryption.
Partner with product, analytics, and engineering to translate requirements and enable self-service dashboards in Superset.
Minimum Qualifications
5+ years building and operating production ETL/ELT pipelines.
Robust Python, with deep hands-on Pandas experience.
Advanced SQL with PostgreSQL and Trino; solid dimensional modeling.
Proven use of AWS S3, Glue, and Athena.
IaC with Terraform (write, version, manage).
Consistent delivery in Agile teams.
Location : Hyderabad - ECIL
Work Mode: Mon - Fri ( WFO)
Notice period: 15 days
📌 Data Engineer Hyderabad (India)
🏢 energytec.ai
📍 India
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