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Mid-level data-engineer in Bangalore with broad requirements and popular title increases competition.
Core data engineering skills transfer across industries, though Azure HDInsight emphasis adds moderate specificity.
Requires Azure HDInsight certification and specific data engineering skills, causing moderate technical screening.
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Analyze data quality and improve data reliability across multiple sources.
Develop, build, and maintain data systems, pipelines, and architectures for data extraction, transformation, and modeling.
Collaborate with data scientists and architects to conduct complex data analysis, build algorithms, and support predictive and prescriptive modeling.
Bachelor's degree in Engineering (B.E / B.Tech) or MCA.
Experience with data analytics activities, data integration, data mining, and use of Big Data tools such as streams.
Mandatory Microsoft certification for performing data engineering on Microsoft HD Insight.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing and implementing data pipelines and ETL architectures supporting analytics use cases.
Familiarity with data quality enhancement and combining disparate raw data into machine-readable formats.
Ability to work closely with data scientists and architects in a data engineering capacity within a technology-focused environment.