04 Nov
Principal Engineer I - Data Engineer
Vacancy expired!
- Owning the design, operations and improvements for the Organizations Data warehouse infrastructure.
- Analyze release notes for upcoming code releases and report any issues found with the logic and/or MOPs.
- Work with SQL developers to improve current reporting and find potential for new reports.
- Work with Java and Python Developers to provide requirements for new tools.
- Collaborate with many groups, including IT, Advanced Engineering, Product, Business Analysts, and PAC.
- Engineering solutions to aggregate and automate large-scale data flows from varying sources.
- Collaborate with Data Analysts and System Engineers in the organization to construct complex data sources.
- Build, analyze and present actionable data to drive marketing business development and product management decisions.
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Bachelor's degree Engineering, Information Technology, Computer Science or related field, and / or related work experience.
- Minimum of Eight (8) years of industry experience in data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
- At least Five (5) years of Experience with big data technologies like Hadoop, spark, Scala/ python (pyspark), Hive etc.
- Certification in Bigdata technologies (like Hadoop , Spark, PySpark)
- Knowledge of batch and streaming data architectures.
- Excellent knowledge of Advanced SQL working with large data sets
- Demonstrated ability to mentor junior team members in all aspects of their engineering skill-sets.
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering.
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations.
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
Vacancy expired!