Straive - Data Engineer

Description :

About the job :

About Straive :

Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and extensive domain expertise across multiple industry verticals, Straive combines cutting-edge data analytics and AI capabilities to consistently deliver measurable ROI for its clients.

Serving hundreds of clients worldwide, Straive operates with a global footprint across 30+ countries, supported by a team of 18,000+ seasoned Summary :

We are looking for a skilled Data Engineer to join our growing team.

You will be responsible for designing and building robust data pipelines, ensuring seamless data ingestion, and creating scalable data models that drive business intelligence and AI Information :

- Experience : 3-5 years

- Locations : Bangalore / Hyderabad / Gurgaon

- Notice Period : Immediate to 30 Responsibilities :

- Data Modeling : Expertly design and implement Dimensional Modeling and Star Schemas to support complex analytical requirements.

- Ingestion Layer : Develop and manage high-performance ingestion layers using Kafka or Kinesis, including the establishment of event schemas and contracts.

- Orchestration : Build and manage Apache Airflow DAGs, ensuring robust task orchestration, retries, and error handling.

- End-to-End ETL : Own the full ETL/ELT lifecycle, including implementing CDC (Change Data Capture) ingestion and data transformation.

- BI Enablement : Build and optimize high-quality data models specifically for Business Intelligence (BI) consumption and downstream Skills Required :

- Proficiency in SQL and experience with modern data warehouse architectures.

- Hands-on experience with Streaming technologies (Kafka/Kinesis).

- Strong expertise in Airflow for workflow automation.

- Proven ability to design Star Schemas and handle complex CDC Join Straive?

At Straive, you will be part of a forward-thinking team shaping the future of cloud and data engineering.

We offer a global platform for innovation, allowing you to work on large-scale enterprise solutions that deliver real-world impact.

(ref:hirist.tech)