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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and optimize scalable data pipelines and cloud-based data platforms supporting analytics, reporting, and AI/ML.
Implement and support Meridian platform data solutions ensuring operational reliability and timely delivery.
Provide technical leadership, including mentorship, architecture review participation, and promotion of engineering best practices.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
5+ years experience in Data Engineering or related disciplines.
Strong experience with SQL, programming languages (Python, Scala, or Java), ETL/ELT frameworks, and cloud platforms (Azure, AWS, Google Cloud).
Experience with Meridian platform implementation/support; knowledge of Databricks, Snowflake, Azure Synapse, Microsoft Fabric, streaming technologies (Kafka, Spark Streaming), and workflow orchestration tools (Airflow, ADF).
Ideal Candidate Profile
Experienced data engineer comfortable working with large-scale, enterprise-grade data platforms and pipelines, including cloud and modern data platform technologies.
Capable of independently supporting complex platform implementations like Meridian and integrating diverse data sources (structured and unstructured).
A technical leader who contributes to architecture, enforces best practices, mentors junior engineers, and ensures high-quality documentation and automated CI/CD workflows.