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Tier-1 employer, mid-level generalist data role in Bangalore creates high applicant competition.
Data engineering skills are broadly transferable across industries, so background sensitivity is low.
Explicit 4–7 years requirement plus broad mandatory tech stack increases selectivity.
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Design and implement secure, performant data architectures and subsystems within data pipelines or repositories for structured and unstructured data.
Develop, test, debug, and integrate code for assigned data system components, ensuring quality, reliability, and cost-effectiveness.
Analyze data inaccuracies and complex datasets to identify issues, trends, and opportunities; collaborate cross-functionally to deliver reporting and data solutions.
Bachelor's or graduate degree in Computer Science, IT, Software Engineering, Statistics/Mathematics, or related field, or equivalent experience.
Work Experience Required: Typically 4-7 years in data analytics, data engineering, data modeling, or related field; or advanced degree with 3-5 years experience.
Proven experience with data extraction, transformation, validation, and reporting; hands-on with programming languages like SQL, Python, Java, Scala.
Experience or knowledge in AI/GenAI solution development, automation tools (Power Automate, Python, Power BI), and data visualization tools (Power BI, Excel).
Experienced in handling complex data engineering projects independently, including design, coding, testing, and mentoring junior engineers.
Skilled at working with large-scale data architectures and technologies such as AWS, Azure, Hadoop, Spark, Kafka, and ETL processes.
Comfortable in agile development environments with strong analytical problem-solving skills and ability to collaborate cross-functionally.