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Strong Tier-1 employer and popular Data Engineer title increases applicant competition.
Data engineering skills like Python, Snowflake, and Oracle are broadly transferable across industries.
Explicit 10+ years and specific tech mandates (Oracle, Snowflake, MDM, Python) enforce strict screening.
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Designs, builds, and manages data architecture and pipelines for structured and unstructured data from multiple sources, ensuring data quality and scalability.
Develops and maintains automated data processing and transformation solutions leveraging AI, machine learning, and big-data techniques.
Leads moderately complex projects end-to-end including technical design, code quality reviews, performance optimization, and collaboration with data scientists and business stakeholders.
10+ years professional experience designing and building software applications.
Degree in B.Tech, BE, ME, MTech, MCA or MS with CS, IT, or MIS specialization (or equivalent).
Strong expertise in Data Engineering, Master Data Management, RDBMS (Oracle), PL/SQL, Java, Python, and exposure to noSQL, Snowflake, Kafka, Pega, Solr.
Experience with Agile and Waterfall methodologies, infrastructure tools like Jira, Jenkins, Git, automated testing, and CI/CD pipelines; good communication skills.
Senior-level software/data engineer proficient with complex data pipeline design and scalable data architecture.
Experienced in managing data quality, security, compliance, and collaborating cross-functionally with data scientists and business teams.
Comfortable operating in ambiguous environments and influencing within large organizations to resolve business and technical challenges.