Data Engineer

Position Summary / Project Description

This Data Engineer role is designed to augment our existing data engineering team to accelerate the implementation and operationalization of our enterprise data platform built on Databricks. The successful candidate will be responsible for leading the migration of legacy data pipelines to Databricks, establishing operational excellence frameworks, and ensuring seamless integration with existing healthcare information systems and clinical data workflows.

The role involves working on critical projects including the Healthcare Data Analytics Platform modernization and advanced analytics infrastructure supporting machine learning operations. The position holder will be expected to mentor junior team members.

Key projects include migrating existing ETL processes from traditional data warehouse systems to Databricks Delta Lake architecture, implementing real-time streaming analytics for clinical monitoring systems. The role requires close collaboration with infrastructure teams, compliance officers.

Role and Responsibilities

Operational Responsibilities:

Monitor and maintain production data pipelines to ensure 99.9% uptime and optimal performance

Implement comprehensive logging, alerting, and monitoring systems using Application monitoring tools

Perform regular health checks performance, job execution times, and resource utilization to identify and resolve bottlenecks proactively

Manage incident response procedures for pipeline failures, including root cause analysis, resolution, and post-incident reviews

Establish and maintain disaster recovery procedures and backup strategies for critical data assets within the Databricks environment

Conduct regular performance tuning of Spark jobs and Databricks cluster configurations to optimize cost and execution efficiency

Maintain comprehensive documentation for operational procedures, runbooks, and troubleshooting guides

Coordinate scheduled maintenance windows and system upgrades with minimal business impact

Manage user access controls, workspace configurations, and security policies within Application environments

Requirements / Qualifications

Education & Experience:

Degree in Computer Science or Computer Engineering

Minimum 5 years working experience in system operations compliance and management areas

Project hands-on experience specifically with AWS platform (primary requirement)

project experience in cloud operations or cloud architecture

Must be cloud certified (AWS)

Core Technical Skills:

proficiency in Databricks platform, including workspace management, cluster configuration, and job orchestration

Strong expertise in Apache Spark within Databricks environment, including Spark SQL, DataFrames, and RDDs

Good in-depth understanding of data warehouse concepts, data profiling, data verification and advanced analytics techniques

Strong knowledge of monitoring, incident management, and cloud cost control

Technology Stack Experience:

Databricks

AWS cloud services and architecture

IDMC (Informatica Data Management Cloud)

Tableau for data visualization

Oracle Database management

ML Ops practices within Databricks environment

STATA for statistical analysis is advantage

Amazon SageMaker integration with Databricks

DataRobot platform integration