About Straive: Straive is a global leader in enterprise data and AI solutions, delivering measurable ROI across multiple industry verticals. Headquartered in Singapore with a presence in 30+ countries, our team of 18,000+ professionals supports top global brands from offices across India, the Philippines, the USA, Nicaragua, Vietnam, the UK, and Canada.

Role Overview:

- Job Title: AWS Data Engineer
- Experience: 3 to 6 years
- Locations: Bangalore, Gurugram, Hyderabad
- Work Mode & Type: Full-time | Hybrid
- Shift Timings: 1:00 PM 10:00 PM

Objective: We are seeking a hands-on Data Engineer to build and maintain a modern, cloud-centric data platform from the ground up. Working in an Agile environment, you will own data ingestion, integration, curation, and orchestration to power advanced analytics, ensuring scalable and cost-effective solutions.

Key Responsibilities:

- Pipeline & Asset Development: Design, develop, test, and deploy scalable, resilient pipelines to generate relational and non-relational data assets for BI engineers and data scientists.
- Cloud & Big Data Execution: Build and maintain data workflows using AWS services (EC2, Lambda, Glue, Redshift)



alongside orchestration and transformation tools like Airflow and dbt.
- Data Quality & Governance: Enforce high quality standards by validating data for completeness and accuracy, maintaining metadata, and improving processes for handling large volumes of structured and unstructured data.
- Collaboration & Standardization: Partner with cross-functional Agile teams and stakeholders to align on data asset design, promote engineering best practices, and build reusable code patterns.

Required Qualifications:

- Experience: 3+ years in software engineering with a strong focus on data engineering.
- Cloud Stack: Hands-on experience with AWS data platforms (Lambda, Step Functions, S3, AWS Glue, Athena, Redshift).
- Programming & Databases: Expertise in Python and SQL (including relational query optimization), paired with a strong grasp of data modeling best practices.
- Orchestration & DevOps: Proven experience with dbt, Airflow, CI workflows, and automated build/test/deploy pipelines.
- Soft Skills: Detail-oriented self-starter who thrives in a collaborative team environment.

📌 Aws Data Engineer (Hyderabad)
🏢 Straive
📍 Hyderabad