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Protocol Intelligence
Data-driven signals on your job's competitivenessEntry-level data engineer in Bengaluru with popular Databricks/PySpark skills attracts strong applicant competition.
Core Databricks, PySpark, and SQL skills are highly transferable across industries, reducing background sensitivity.
Explicit 1+ years plus Databricks, PySpark, and SQL requirements create moderate filtering of applicants.
Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain scalable data pipelines on Databricks following established engineering and ETL/ELT best practices under senior engineer guidance.
Assist with deploying changes via CI/CD pipelines and support incident response and root-cause analysis to reduce recurring issues.
Collaborate with Reporting, Platform, and Business teams to deliver curated datasets and document workflows to support knowledge sharing.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
1+ years of experience including internships in data engineering or related areas; fresh graduates with relevant internships encouraged.
Hands-on knowledge of Databricks, Python (PySpark), SQL, and exposure to building ETL/ELT data pipelines.
Basic understanding of CI/CD pipelines, Git-based version control, and familiarity or willingness to learn AWS cloud.
Ideal Candidate Profile
Early-career data engineer with hands-on exposure to Databricks and data pipeline development, eager to develop operational and DevOps skills.
Comfortable working under guidance while progressively taking ownership of assigned deliverables with attention to data quality and scalability.
Prefers collaborative environments engaging cross-functional teams and documenting technical processes clearly.