
Specialist, Data Engineer - India
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Protocol Intelligence
Data-driven signals on your job's competitivenessWell-known employer, hybrid remote, popular mid-level Data Engineer title and broad skillset increase competition.
Core data engineering skills (Python, SQL, AWS, ETL) are broadly transferable across industries with low sensitivity.
Explicit 5-8 years plus mandatory Databricks, Python, AWS, SQL and production experience creates strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and implementation of data products ensuring data accuracy and quality across diverse consumers including business users and data scientists.
Develop and maintain scalable data pipelines for streaming and batch data, creating reusable automated tests for data quality and completeness.
Support production data processes monitoring, collaborate on CI/CD best practices, and apply secure software engineering throughout delivery lifecycle.
Minimum Requirements
5-8 years experience with data management, software development, and data quality practices.
2+ years experience with Databricks; 2+ years experience with Python; 3+ years experience with Cloud technology (AWS preferred).
Strong SQL skills and data troubleshooting expertise with Oracle and MS SQL.
Work Experience Required: 5-8 years as specified; Education: Undergraduate degree or equivalent experience in computer science, MIS, business, statistics, math, or related field.
Ideal Candidate Profile
Experienced data engineer familiar with entire software development lifecycle and Agile/Scrum methodologies.
Proficient in data warehousing, data integration, and implementing data quality rules in cloud environments.
Capable of translating business requirements into technical solutions, supporting CI/CD pipelines, and working in a hybrid/remote environment aligned with India business hours.
