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Tier-1 brand, metro location, popular data engineer title, and broad skill requirements create high competition.
Low because core data engineering skills like Python, Spark, and Kafka are highly transferable across industries.
Moderate due to required programming and big-data platform skills despite no explicit years or certifications.
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Design, develop, and maintain data engineering solutions including data pipelines and ETL processes.
Ensure data quality and support effective collection, processing, and analysis of data to enable better decision-making.
Collaborate with cross-functional teams to understand data requirements and deliver scalable and robust data infrastructure aligned with best practices.
Bachelor’s degree in science, technology, engineering, or mathematics from an accredited institution.
Experience in data engineering or a related field.
Proficiency in programming languages such as Python, Java, or Scala.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with big data technologies/platforms like Hadoop, Spark, and Kafka.
Operates well in cross-functional teams to translate data needs into technical solutions.
Demonstrates an understanding of emerging data engineering technologies and industry best practices.