Data Engineer
Company: Disability Solutions
Location: Charlotte
Posted on: May 4, 2024
Job Description:
Driving Infinite Possibilities Within A Diversified, Global
OrganizationThe future is what you make it.When
you join Honeywell, you become a member of our global team of
thinkers,
innovators, dreamers and doers who make the things that make the
future.That
means changing the way we fly, fueling jets in an eco-friendly way,
keeping
buildings intelligent and safe and even making it possible to
breathe on MarsWorking
at Honeywell isn't just about developing cool things. That's why
all of our
employees enjoy access to dynamic career opportunities across
different fields
and industries.Are you ready to help us make the future?Join a team
that is elevating our strategy to drive advanced analytics and
visualization tools across the Commercial Enterprise. In this role,
Data Engineer - Commercial, you will design, implement, and manage
the data architecture, systems, and processes to effectively
collect, store, process and analyze high volume, high dimensional
data to provide strategic insight into complex business problems.
This will involve creating and maintaining scalable, efficient, and
secure data pipelines, data warehouses, and data lakes. You need to
ensure consistency in data quality and availability for analysis
and reporting including compliance with data governance and
security standardsRESPONSIBILITIES:--
- Work in complex data science and analytics projects in support
of the Commercial organization.
- Work with product owner to identify the data requirements and
design/ maintain/ optimize data pipeline to ingest, transform, and
load structured and unstructured data from various sources into the
data warehouse or data lake.
- Design and implement data models and schemas to support
analytical and reporting requirements.
- Collaborate with data scientists and analysts to define and
structure data for effective analysis and reporting.
- Develop and maintain ETL (Extract, Transform, Load)
processes.
- Administer, optimize, and manage databases, data warehouses,
and data lakes to ensure performance, reliability, and
scalability.
- Enforce data governance policies, standards, and best practices
to maintain data quality, privacy, and security.
- Create and maintain comprehensive documentation for data
architecture, processes, and systems.
- Troubleshoot and resolve data-related problems and optimize
system performance.
- Partner with IT support team on production processes,
continuous improvement, and production deploymentsYOU MUST HAVE
- Bachelor's degree from an accredited institution in a technical
discipline such as the sciences, technology, engineering or
mathematics
- Two or more years of relevant experience in Data Engineering,
ETL Development, Database Administration.
- Experience in Azure Databricks, CI/CD & Dev Ops Process
- Expert in scripting and querying languages, such as Python,
SQL, PySpark
- Experience with both Structured and Unstructured data
- SFDC business/ technical knowledge
- Knowledge of Agile development methodologyWE VALUE
- Working with at least one NoSQL system (HBase, Cassandra,
MongoDB)
- Knowledge of databases, data warehouse platforms (Snowflake)
and Cloud based tools.
- Experience in using data integration tools for ETL
processes.
- Knowledge of Data Modelling techniques including schema design
for both rational and NoSQL databases
- Understanding of Hadoop's ecosystem (including HDFS) and Spark
for processing and analyzing large-scale datasets.
- Demonstrated experience in cutting-edge packages such as
SciKit, TensorFlow, Pytorch, GPT, PySpark, Bit bucket etc.
- Ability to develop and communicate technical vision for
projects and initiatives that can be understood by customers and
management.
- Proven mentoring ability to drive results and technical growth
in peers.
- Effective communication skills (verbal, written, and
presentation) for interacting with customers and peers.
- Demonstrated application of statistics, statistical modeling,
and statistical process control.Additional Information
JOB ID: req445270Category:
EngineeringLocation: 855 S Mint St,Charlotte,North
Carolina,28202,United StatesExemptEngineering (EMEA)Honeywell is an
equal opportunity employer. Qualified applicants will be considered
without regard to age, race, creed, color, national origin,
ancestry, marital status, affectional or sexual orientation, gender
identity or expression, disability, nationality, sex, religion, or
veteran status.
Keywords: Disability Solutions, Gastonia , Data Engineer, Engineering , Charlotte, North Carolina
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