Senior Analyst, Data Engineering
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist data engineering role in Bangalore with broad skill requirements increases competition.
Core SQL, ETL, and Python data engineering skills are broadly transferable across industries despite service-parts domain preference.
Explicit 5–6 years requirement plus mandatory SQL/ETL, Python, cloud, and Teradata skills raises shortlisting rigidity.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize scalable data pipelines and ETL/ELT processes across SQL, Teradata, and cloud platforms to support business operations.
Build and maintain data-driven applications, APIs, automation solutions, and reporting tools to improve workflows and support production deployments and issue resolution.
Analyze telemetry and pipeline metrics, contribute to incident reviews, improve operational processes through data quality, documentation, and automation.
Minimum Requirements
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related field.
5–6 years of experience in data engineering, application development, data analysis, or similar technical roles.
Strong expertise in SQL (SQL Server, Teradata), ETL/ELT development, data warehousing, dimensional modeling, data integration, and data quality analysis.
Proficiency in Python and/or programming languages (Java, C#, Scala); experience with cloud platforms (preferably Azure), Git, CI/CD, bulk data processing, and performance optimization.
Ideal Candidate Profile
Experienced in building and optimizing scalable data architectures and automation within a global, collaborative environment.
Skilled at translating business requirements into technical solutions and communicating insights with clear documentation.
Familiar with modern engineering practices, cloud technologies (especially Azure), and mentoring or knowledge sharing in technical teams.