Notice- Looking for candidates who can join within 30 days.
Key Responsibilities:
·Design end-to-end Lakehouse architecture on Databricks using best practices ·Lead the development of enterprise-grade data pipelines, ETL frameworks, and real-time streaming applications ·Define data architecture patterns and technical standards ·Guide and mentor developers and junior engineers ·Collaborate with stakeholders to translate business requirements into scalable technical solutions ·Evaluate and implement CI/CD, orchestration tools, and security models ·Optimize performance and cost efficiency in large-scale data systems ·Oversee integration with upstream and downstream systems (Power BI, Kafka, Snowflake, etc.)
Required Skills:
·Strong architecture-level experience with Databricks and Apache Spark ·Expertise in Delta Lake, Databricks SQL, and advanced data engineering patterns ·Solid understanding of cloud architecture (Azure/AWS/GCP), including security, networking, and cost optimization ·Hands-on with DevOps/CI-CD, infrastructure-as-code (Terraform/ARM), Git, and automation ·Excellent problem-solving skills and stakeholder communication
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