Posted:1 day ago|
Platform:
On-site
Full Time
Experience: 8+ years in Data Engineering or related roles, with a focus on cloud technologies and big data solutions.
Technical Expertise:
Deep knowledge of cloud platforms such as Azure, AWS, and GCP.
Hands-on experience with Big Data technologies like Apache Spark, Hadoop, Kafka, and Flink.
Solid understanding of ETL frameworks (DBT, Apache Airflow, AWS Glue, etc.).
Expertise in containerization with Docker and Kubernetes (AKS, EKS, GKE).
Proven experience in Data Warehousing & Modeling (Snowflake, Redshift, BigQuery, Synapse).
Strong background in Data Security and Governance (IAM, RBAC, encryption, data lineage).
Experience with CI/CD pipelines using Terraform, GitHub Actions, and Azure DevOps.
Programming & Scripting Skills: Proficiency in Python, Bash, or PowerShell for automation tasks.
Cloud Architecture: Experience designing hybrid/multi-cloud architectures to ensure high availability and fault tolerance across Azure, AWS, and GCP.
Leadership & Mentorship: Proven ability to lead teams, mentor junior engineers, and collaborate effectively with cross-functional teams.
Preferred Skills:
Familiarity with Machine Learning pipelines and predictive analytics.
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