IN_Senior Manager_Data Engineering (Azure/AWS/GCP/Oracle)_OC-Data & Analytics AITH_Advisory_Bhubaneswar
Core
Lead and manage data engineering teams to design, build, and maintain scalable, secure data infrastructure and pipelines across multi-cloud environments.
Role type
Senior Manager, Data Engineering
Builds
Robust, scalable data platforms, data lakes, warehouses, and lakehouses on Azure, AWS, GCP, and Oracle Cloud.
Domain
Data Engineering, Cloud Infrastructure, Multi-cloud
Deliverable
production ML models | infrastructure
Required skills
Cloud platform expertise (Azure, AWS, GCP, Oracle), ETL/ELT pipeline design, Data governance and security, Team leadership and scaling, Cloud migration strategy, Infrastructure automation (Terraform, CloudFormation), Big data frameworks (Spark, Kafka), Containerization (Docker, Kubernetes), Agile delivery management.
Preferred skills
Cloud certifications (Azure, AWS, GCP, Oracle), Multi-cloud/hybrid environment experience, ML pipeline orchestration.
Technologies
Azure Data Factory, Synapse Analytics, Databricks, AWS Glue, Redshift, Athena, EMR, GCP BigQuery, Dataflow, Dataproc, Oracle Autonomous Database, Informatica, Apache Spark, Apache Kafka, Apache Airflow, Docker, Kubernetes, Terraform, CloudFormation.
Responsibilities
Lead and mentor data engineering teams; Own end-to-end lifecycle of data solutions; Collaborate with architects and scientists to translate requirements; Drive adoption of cloud-native architectures; Define technical standards and guidelines; Oversee cloud migration projects; Manage vendor relationships; Implement data governance and compliance; Monitor pipeline performance; Lead Agile delivery processes; Provide technical leadership in automation tools.
Seniority
Senior Manager, hands-on leadership
