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TO nee...@stackdelta.com
TITLE: LEAD Data
engineer
LOCATTION: Remote (possible hybrid if in Seattle/Mountainview, Ca or New
Jersey
VISA:
No H1B
MOI:
Skype
DURATION: 12+ months
Must: • 10+ years as a Lead Data Engineer
The lead
data engineer will be responsible for the end-to-end design, build,
monitoring and support of Big Data architecture including platform and
applications. The candidate needs to be self-driven and extremely hands
on.
SUMMARY OF ESSENTIAL JOB FUNCTIONS
- Function as the Technical Decision Authority and
own the data strategy and road map, data architecture definition, business
intelligence/data warehouse solution and platform
- Ensure deployment of modern data structures and
models to enable reliable and scalable data products and feature
stores
- Monitor end-to-end
application stack (Hadoop, Vertica, Tableau, Hue, Superset etc.) and
lead/provide end-to-end operation support for all applications.
- Develop processes for automating, testing, and
deploying the work
- Identify risks and opportunities of potential
logic and data issues within the data environment
- Collaborate effectively with the global team and
ensure day to day deliverables are met
- Lead other team members and provide technical
leadership in all phases of a project from discovery and planning through
implementation and delivery.
- Lead the resolution activities for complex data
issues.
- Develop and maintain documentation relating to
all assigned systems and projects
- Ability to independently perform proof of
concepts for new tools and frameworks and present to leadership
- Work in an agile environment. Develop and drive
multiple cross-departmental projects.
- Establish effective working relationships across
disparate departments to deliver business results.
MINIMUM REQUIREMENTS
- 10+ years as a Lead Data Engineer
- Airflow Frameworks (required)
- Top 3 technologies: Spark/Python/Shell (required)
- Spark experience
required (pyspark required)
- Good knowledge of open source
- Strong Experience with big data
tools and data processing: Hadoop, Spark, Scala, Kafka, ShellYarn cluster,
Java, etc.
- Ability to debug
shell scripts, hive jobs and hadoop issues a must
- Experience with
object-oriented/object function scripting languages: Python, Java,
Scala, etc
- Experience on
SQL/NoSQL databases like Vertica, Postgres, Cassandra etc.
- Experience with
data modelling highly preferred
- Experience on
streaming /event driven technologies work such as Lambda, Kinesis, Kafka,
etc. is a nice to have
- Nice to have but
not required - exposure to ML (frameworks like
pytorch/tensorflow), model management and serving, containerizing and
application development experience.
- 3+ years of manufacturing/Hi-tech experience
preferred
- Prior experience as a senior data architect,
technical lead, system architect, or similar is required
- Excellent verbal and written communication
skills.
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