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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, and broad generalist data-engineering requirements increase candidate competition.
Core Python, Spark, and Databricks skills are highly transferable across industries.
Explicit 1–3 years and mandatory Databricks/Azure/Spark skills create moderate screening filters.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain data pipelines, data products, and analytics solutions using Python, SQL, Spark, Databricks, and Azure cloud services.
Apply data modeling techniques including Delta Lake, lakehouse, and data warehouse concepts to meet business needs.
Support testing, debugging, monitoring, and performance tuning, and contribute to generative AI initiatives under technical guidance.
Minimum Requirements
Bachelor’s degree or equivalent in computer science, engineering, information systems, or related field.
1 to 3 years of experience in data engineering, software development, analytics engineering, or related technology role.
Proficiency in Python, SQL, Spark, data pipeline development; exposure to Databricks or similar cloud data platform and Azure services.
Understanding of Git, CI/CD, testing, debugging, and data warehousing concepts.
Ideal Candidate Profile
Experience with Databricks workflows, Delta Live Tables, Unity Catalog, or Asset Bundles is preferred.
Awareness or exposure to generative AI, retrieval-augmented generation, large language models, or related AI technologies.
Experience or interest in automated testing, data quality, monitoring, and performance optimization in data engineering contexts.