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Tier-1 brand, popular data engineering role, metro location, and broad skillset requirements increase competition.
Core data engineering skills are transferable across industries but require domain experience.
Explicit 8+ years requirement and specific data engineering tech stack make filters strict.
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Design, build, and enhance clients’ analytical models applying appropriate modeling methodologies to solve complex business issues.
Lead technical design and development of distributed, high-throughput, low-latency, and highly available data engineering application solutions.
Develop and maintain data pipelines, implement process improvements to automate data processing and ensure data integrity and security, collaborating with data scientists and business analytics teams.
8+ years of related experience with a first-level university degree or 6+ years with an advanced degree in technical communications, computer science, or related field.
Expertise in Python, SQL, ETL/ELT, Visual Studio, GIT/TFS, relational databases, data modeling, and BI tools such as Power BI or Qlik.
Experience working with big data technologies such as Hadoop, Kafka, Hive, and Spark.
Willingness to work in a hybrid model with approximately 2 days per week onsite at an HPE office.
Demonstrated mastery in complex data engineering disciplines with experience leading cross-division projects and developing innovative solutions.
Strong technical leadership capabilities with the ability to architect and deliver scalable, reliable data processing pipelines and BI solutions.
Experience interfacing with cross-functional teams including marketing, test, support, and manufacturing, suggesting strong collaboration in enterprise product environments.