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Lead Data Engineer / Data Architect | Global Enterprise Opportunity
We are hiring Lead Data Engineers and Data Architects for enterprise-scale cloud data transformation, modernization, and architecture initiatives with leading global organizations.
The role is suited to experienced data professionals who can translate business and technical requirements into scalable data architectures, lead technical decisions, and guide the delivery of modern cloud data platforms.
What We Are Looking For
What You Will Work On
Preferred Experience**
Data governance, MDM, Kafka, streaming architectures, Airflow, Terraform, CI/CD, Delta Lake, Microsoft Fabric, or enterprise data strategy.
Notice Period: Immediate to 30 days preferred.
Contract: Long-term contract opportunity with strong potential for extension.
Please note: We review applications based on relevant skills, experience, and expertise. As applications are reviewed on a weekly basis, we appreciate your patience during the process. If your profile aligns with the requirements of the role, our team will be in touch to discuss the next steps.
Job ID: 153656069
Skills:
BigQuery, Hadoop, Flume, SAS, Dataproc, Pig, MATLAB, Sql, Mapreduce, Tensorflow, Hive, Spark, Apache Beam, Genomics, GCP Dataflow, Stata, Torch, Pub Sub, Dataprep, R, Caffe, Datalab
Skills:
network automation , BGP, Ansible, Python, Vxlan, Cisco Aci, Arista, spine leaf architecture, NetBox, multi-tenant segmentation, CloudVision, EVPN, NSX-T
Skills:
network automation , BGP, Cisco Aci, Ansible, Vxlan, Python, multi-tenant segmentation, CloudVision, NSX-T, Arista, EVPN, NetBox, spine leaf architecture
Skills:
Scala, Pyspark, Apache Spark, JIRA, Sql, Jenkins, Git, Confluence, Powerbi, Terraform, Gitlab, GCP Data Lake, MLflow, GCP Pub Sub, GCP Cloud Storage, Vector Databases, Delta Lake, Looker Studio
Skills:
Azure Data Factory, Sql, Azure Synapse Analytics, Data Warehousing, Hadoop, Pyspark, Kafka, Azure Databricks, Data Security, Etl, Nosql, ELT, Workflows, Data Integration, Data Governance, Data Transformation, Azure Data Lake, Microsoft Azure, Spark, Azure Blob Storage, SQL Warehouse, Data Quality Frameworks, Structured Streaming, Azure SQL Database, Compliance Standards, Delta Live Tables, Unity Catalog, Data Pipeline Architecture