Website:
altraize.com
Job details:
About The Opportunity
A fast-scaling tech innovator in the enterprise data & cloud infrastructure space, we build scalable data pipelines and analytics platforms that power real-time business intelligence for global clients. Our Data Engineers design, deploy, and optimize data architectures across cloud and on-prem environments—enabling faster decision-making through seamless ETL/ELT, data warehousing, and automation. We value clean code, production-grade reliability, and engineers who thrive in collaborative, high-velocity environments.
Role & Responsibilities
- Design, develop, and maintain scalable data pipelines for batch and real-time ingestion across multiple source systems.
- Build and optimize data models in cloud data warehouses (Snowflake, BigQuery, Redshift) and data lakes (S3, ADLS).
- Automate ETL/ELT workflows using Apache Airflow, AWS Glue, or Azure Data Factory with monitoring and alerting.
- Collaborate with analytics, data science, and product teams to translate business requirements into efficient, reusable data assets.
- Ensure data quality, governance, and lineage through metadata tagging, testing frameworks, and documentation.
Skills & Qualifications
đź“Ś Skills Required:
Strong experience in Python and SQL
Hands-on experience with ETL/ELT processes and data pipelines
Experience with cloud platforms like AWS / GCP / Azure
Knowledge of data warehousing concepts (Snowflake, BigQuery, Redshift, etc.)
Familiarity with tools like dbt, Airflow, or similar
Good English communication skills
Problem-solving mindset and ability to work in a team
Please share an interesting list of candidates.
đź“Ś Good To Have
Experience in data modeling and performance optimization
Exposure to real-time data processing or streaming tools
Understanding of data governance and data quality practices
Benefits & Culture Highlights
- On-site collaborative workspace in India with cutting-edge tech stack and innovation labs.
- Opportunity to influence core data architecture across global clients and industry verticals.
- Growth-focused culture with clear career paths, technical mentorship, and upskilling allowances.
Skills: data,analytics,aws,data engineer,pipelines,cloud,redshift,bigquery,airflow,gcp,python,sql
Click on Apply to know more.