SR. DATA ENGINEER
Company: ApTask
Location: Dearborn
Posted on: November 15, 2024
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Job Description:
About Client:Client is a company that helps other businesses use
technology to improve and grow. They provide services like creating
computer programs, managing computer systems, and making sure
everything is secure. Client works with different industries like
telecommunications, healthcare, banking, and retail to help them
use new and exciting technologies like artificial intelligence,
cloud computing, and the Internet of Things. These technologies can
make businesses more efficient and innovative.They have offices and
people working all around the world, and their team of experts
helps businesses solve their technology challenges. Client also
cares about making a positive impact on society and the
environment, so they support social causes and work to conserve
resources.Salary Range: $100K-$115K/AnnumJob Description :We're
seeking a Data Engineer who has experience building data products
on a cloud analytics platform.You will work on ingesting,
transforming, and analyzing large datasets to support the
Enterprise in the Data Factory on Google Cloud Platform
(GCP).Experience with large scale solution and operationalization
of data lakes, data warehouses, and analytics platforms on Google
Cloud Platform or other cloud environments is a must.We are looking
for candidates who have a broad set of technical skills across
these areas.Responsibilities:Work in collaborative environment that
leverages paired programmingWork on a small agile team to deliver
curated data productsWork effectively with fellow data engineers,
product owners, data champions and other technical
expertsDemonstrate technical knowledge and communication skills
with the ability to advocate for well-designed solutionsDevelop
exceptional analytical data products using both streaming and batch
ingestion patterns on Google Cloud Platform with solid data
warehouse principlesBe the Subject Matter Expert in Data
Engineering with a focus on GCP native services and other well
integrated third-party technologies.Skills:Experience in working in
an implementation team from concept to operations, providing deep
technical subject matter expertise for successful
deployment.Implement methods for automation of all parts of the
pipeline to minimize labor in development and productionExperience
in analyzing complex data, organizing raw data, and integrating
massive datasets from multiple data sources to build analytical
domains and reusable data productsExperience in working with
architects to evaluate and productionalize data pipelines for data
ingestion, curation, and consumptionExperience in working with
stakeholders to formulate business problems as technical data
requirements, identify and implement technical solutions while
ensuring key business drivers are captured in collaboration with
product managementSkills Preferred:Strong drive for results and
ability to multi-task and work independentlySelf-starter with
proven innovation skillsAbility to communicate and work with
cross-functional teams and all levels of managementDemonstrated
commitment to quality and project timingDemonstrated ability to
document complex systems.Experience: 7-11 years5+ years of SQL
development experience5+ years of analytics/data product
development experience required3+ years of Google cloud experience
with solutions designed and implemented at production
scaleExperience working in GCP native (or equivalent) services like
Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, Cloud
Build, etc.Experience migrating Teradata to GCPExperience working
with Airflow for scheduling and orchestration of data
pipelinesExperience working with Terraform to provision
Infrastructure as Code2 + years professional development experience
in Java or PythonExperience Preferred:Experience converting
Microsoft SSRS, SSAS and SSIS to BQExperience converting Mainframe
JCL , COBOL and CA7Experience converting SAS code to BQExperience
converting Web Focus reports in to Qlik SenseIn-depth understanding
of Google's product technology (or other cloud platform) and
underlying architectures - Experience in working with
DBT/DataformExperience with DataPlex or other data catalogs is
preferredExperience with development eco-system such as Tekton,
Git, Jenkins for CI/CD pipelines - Exceptional problem solving and
communication skillsExperience in working with Agile and Lean
methodologiesTeam player and attention to detailExperience with
performance tuning SQL queries.Education: Bachelor's degree in
computer science or related scientific fieldEducation Preferred:GCP
Professional Data Engineer CertifiedMaster's degree in computer
science or related field2+ years mentoring engineersIn-depth
software engineering knowledge.About ApTask:ApTask is a leading
global provider of workforce solutions and talent acquisition
services, dedicated to shaping the future of work. As an African
American-owned and Veteran-certified company, ApTask offers a
comprehensive suite of services, including staffing and recruitment
solutions, managed services, IT consulting, and project management.
With a focus on excellence, collaboration, and innovation, ApTask
provides unparalleled opportunities for professional growth and
development. As a member of the ApTask team, you will have the
chance to connect businesses with top-tier professionals, optimize
workforce performance, and drive success across diverse industries.
Join us at ApTask and be part of our mission to empower
organizations to thrive while fostering a diverse and inclusive
work environment.Applicants may be required to attend interviews in
person or by video conference. In addition, candidates may be
required to present their current state or government issued ID
during each interview.Candidate Data Collection Disclaimer:At
ApTask, we prioritize safeguarding your privacy. As part of our
recruitment process, certain Personally Identifiable Information
(PII) may be requested by our clients for verification and
application purposes. Rest assured, we strictly adhere to
confidentiality standards and comply with all relevant data
protection laws. Please note that we only collect the necessary
information as specified by each client and do not request
sensitive details during the initial stages of recruitment.If you
have any concerns or queries about your personal information,
please feel free to contact our compliance team at
businessexcellence@aptask.com
Keywords: ApTask, Sterling Heights , SR. DATA ENGINEER, Engineering , Dearborn, Michigan
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