We are seeking a skilled and experienced Data Engineer to join our rapid-paced and innovative Data Science team. This role involves building and maintaining data pipelines across multiple cloud-based data platforms.

Requirements:

A minimum of 5 years of total experience, with at least 34 years specifically in Data Engineering on a cloud platform.

Key Skills & Experience:
- Proficiency with AWS services such as Glue, Redshift, S3, Lambda, RDS , Amazon Aurora ,DynamoDB ,EMR, Athena, Data Pipeline , Batch Job.

Strong expertise in:
- SQL and Python
- DBT and Snowflake
- OpenSearch, Apache NiFi, and Apache Kafka
- In-depth knowledge of ETL data patterns and Spark-based ETL pipelines.
- Advanced skills in infrastructure provisioning using Terraform and other Infrastructure-as-Code (IaC) tools.
- Hands-on experience with cloud-native delivery models, including PaaS, IaaS, and SaaS.
- Proficiency in Kubernetes, container orchestration, and CI/CD pipelines.
- Familiarity with GitHub Actions, GitLab, and other leading DevOps and CI/CD solutions.
- Experience with orchestration tools such as Apache Airflow and serverless/FaaS services.
- Exposure to NoSQL databases is a plus.

📌 Senior Data Engineer (Hyderabad)
🏢 Dazn
📍 Hyderabad