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Tier-1 employer, metro location, popular data-engineer title, and broad skillset requirements drive high competition.
Medium because core data engineering skills transfer broadly, though payments and DW domain experience are advantageous.
High due to explicit 10+ years requirement and mandatory Spark/Scala/Python, Hadoop and NiFi expertise.
Develop and maintain high quality, secure, and scalable data pipelines using Spark with Scala/Python on Hadoop or object storage.
Drive innovation, automation, and efficiency in data ingestion, movement, and access workflows within Big Data environments.
Collaborate closely with business stakeholders and engineering teams to build scalable products quickly and enforce software development standards in Big Data projects.
10+ years of experience in Data Warehouse projects and end-to-end Big Data implementations.
Proficiency in building data pipelines using Spark with Scala, Python, or Java on Hadoop or object storage.
Experience with NiFi pipelines; working knowledge of Oracle or Netezza databases is advantageous.
Strong analytical skills for debugging production issues and implementing mitigation plans.
Experienced in leading technical efforts in large-scale, fast-paced Big Data analytics environments.
Able to handle multiple projects simultaneously and provide technical leadership to junior team members.
Skilled at collaborating across diverse and geographically distributed teams and adapting quickly to new technologies through POCs.