Data Engineer

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

📌 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.

📌 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: cloud,data,etl,python