JOB DESCRIPTION
- Design, build, and maintain scalable data infrastructure on modern cloud platforms.
- Collaborate cross-functionally (engineering, analytics, product) to develop end-to-end data pipelines.
- Ensure system reliability, performance, and cost optimization.
- Establish and enforce data quality and governance standards while promoting DevOps practices (CI/CD, Infrastructure as Code).
- Partner with Data Science and Analytics teams to enable BI, advanced analytics, and machine learning use cases.
JOB REQUIREMENTS
MUST HAVE
- 4+ years of experience in Data engineering.
- Experience with Apache Airflow for scheduling/orchestration.
- Experience with ETL/ELT design.
- Experience with Python/Java/Scala.
- Experience with compliance (GDPR, CCPA).
- Experience with (Online Transaction Processing) and OLAP.
(Online Analytical Processing). - Experience with CI/CD pipelines and DevOps tools.
NICE TO HAVE:
- Kafka, Spark Streaming.
- Terraform, Ansible.
- Jenkins, Git.
BENEFITS
Competitive Salary and Brilliant Health Benefits
Progressive and Fun Working Environment
Valuable Training
