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Tier-1 employer and metro locations increase qualified applicant density, though senior niche skills moderate it.
Core data engineering skills are transferable, but Oracle/ODI and enterprise support requirements increase industry specificity.
Explicit 8–12 years plus mandatory Snowflake/Databricks/AWS/Oracle and leadership experience makes screening highly strict.
Provide technical leadership for design, implementation, and support of enterprise data platforms using Snowflake, Databricks, AWS, and Oracle/ODI.
Lead development and optimization of scalable ETL/ELT pipelines including batch and near real-time data ingestion, ensuring data quality and performance.
Manage production support, incident resolution, release coordination, and mentor development teams to ensure operational excellence.
8–12+ years of experience in data engineering, ETL development, and production support.
Strong hands-on expertise with SQL, Snowflake, Databricks, AWS (Glue, S3, IAM, CloudWatch), Oracle databases, PL/SQL, and Oracle Data Integrator (ODI).
Experience with batch and near real-time data pipelines, incident management, performance tuning, and data quality processes.
Work Mode: Work from Office / Hybrid (Chennai/Hyderabad, India); Shift: 5:30pm - 2:30am.
Experienced technical leader comfortable making architectural decisions and managing cross-functional teams across onshore/offshore locations.
Depth in enterprise-scale data platforms spanning cloud (AWS, Snowflake, Databricks) and legacy Oracle environments with focus on operational stability and scalability.
Proven ability to handle critical production incidents, drive root cause analysis, and implement preventive controls in a fast-paced environment.