Posted:3 weeks ago|
Platform:
Work from Office
Full Time
Having Expertise in multi-cloud platforms AWS, GCP, and Azure.
Possessing Strong skills in data ingestion, ETL/ELT, batch & streaming pipelines, and data warehousing.
Having Hands-on experience with Big Data tools like Spark, Hadoop, Kafka, Hive, and Databricks.
Having Knowledge of ML engineering and MLOps practices for scalable deployments.
Having Proficiency in Python, SQL, Scala; exposure to Java is a plus.
Having Experience with CI/CD, Docker, Kubernetes, and Infrastructure as Code (Terraform/CloudFormation).
Having Ability to design innovative, scalable, and secure data-driven solutions.
Holding a graduate BE / B.Tech / MCA/M.Tech/M.Sc with good academic record.
10+ years of experience in building Data Lake, Big Data, and ML engineering solutions.
Strong communication, stakeholder engagement, and customer-centric mindset.
Cloud certifications and prior experience in leading/mentoring teams preferred.
Siemens
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