Senior Cloud Data Engineer
Company: Kimberly-Clark
Location: Mesquite
Posted on: July 31, 2022
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Job Description:
Senior Cloud Data Engineer Job Description Cloud Data Engineers
will be responsible for architecting transformation and
modernization of enterprise data solutions on Cloud Platforms
integrating Azure services and 3rd party data technologies. Cloud
Analytic Data Engineer will work closely with a multidisciplinary
agile team to build high quality data pipelines driving analytic
solutions. These solutions will generate insights from our
connected data, enabling Kimberly-Clark to advance the data-driven
decision-making capabilities of our enterprise. This role requires
deep understanding of data architecture, data engineering, data
modeling, reporting, and data science techniques and workflows. The
ideal candidate is a skilled data / software engineer with
experience creating data products supporting analytic solutions. If
you are an agile learner, possess strong problem-solving skills,
work as part of a technical, cross functional analytics team, and
want to solve complex data problems and deliver the insights that
helps enable our Consumer First strategy then we would like to hear
from you.Roles & Responsibilities:--- Design, develop, optimize,
and maintain Cloud Data Platform pipelines that adhere to ETL
principles and business goals --- Utilize conceptual knowledge of
data and analytics, such as dimensional modeling, ETL, reporting
tools, data governance, data warehousing, structured and
unstructured data to solve complex data problems --- Work with
business/application/solution teams to implement data strategies,
build data flows, & develop conceptual/logical/physical data models
--- Develop, and maintain conceptual, logical, and physical data
models, implement of RDBMS, operational data store (ODS), data
marts, and data lakes on target platforms in cloud --- Work with
the database engineering and DBAs to create optimal physical data
models (transactions, normalized and dimensional models; etc.,) ---
Define and govern data modeling and design standards, tools, best
practices, and related development for enterprise data models ---
Hands-on experience modeling, design, configuration, installation,
performance tuning, and setting up sandbox for POC --- Lead/Partner
with business analyst and solutions architects to conduct detailed
technical assessments of enterprise data architecture, define path
to transform it into a modern data powered enterprise for strategic
enterprise projects and initiatives --- Lead/Partner with different
teams and provide deep technical expertise to evaluate, implement &
deploy emerging tools and large scale data solutions for data
engineering to improve productivity as a team --- Conduct full
technical discovery, identifying pain points, business and
technical requirements, "as is" and "to be" scenarios --- Compare
solution alternatives across both technical and business parameters
which support the define cost and service requirements --- Create
detailed target state technical, security, data and operational
architecture and design blueprints incorporating modern data
technologies and cloud data services demonstrating modernization
value proposition --- Lead scoping sessions to generate estimates
and approaches for execution --- Solve complex data problems to
deliver insights that helps our business to achieve their goals ---
Create data products for analytics and data scientist team members
to improve their productivity --- Stay educated on new and emerging
technologies/patterns/methodologies and market offerings/Learn
about machine learning, data science, computer vision, artificial
intelligence, statistics, and/or applied mathematics --- Develop
and deliver communication & education plans on analytic data
engineering capabilities, standards, and processes --- Advise,
consult, mentor and coach other data and analytic professionals on
data standards and practices Basic Qualifications: --- Bachelor s
degree --- Minimum 7+ years of experience in architecting
large-scale data solutions, performing architectural assessments,
crafting architectural options and analysis, finalizing preferred
solution alternative working with IT and Business stakeholders ---
7+ years of data engineering or architecture experience,
architecting, developing, and deploying scalable enterprise data
analytics solutions --- 10+ years of IT experience and equivalent
blend of education and experience --- Minimum 7+ year of designing,
building and operationalizing large-scale enterprise data solutions
and applications using one or more of cloud data and analytics
services in combination with 3rd parties --- Hands-on experience
analyzing, re-architecting and re-platforming on-premise data
warehouses to data platforms on cloud --- Experience designing and
building production data pipelines from ingestion to consumption
within a hybrid big data architecture --- Experience designing and
implementing data engineering, ingestion and curation functions on
cloud using native or custom programming --- Hands-on experience
designing and implementing data ingestion solutions on cloud ---
Hands-on experience architecting and designing data lakes on cloud
serving analytics and BI application integrations --- Experience
design/development of Large Data Warehouse and/or Database
Management Systems --- Expertise in data modeling
principles/methods including, Conceptual, Logical & Physical Data
Models --- Demonstrated experience modeling high performance
multi-dimensional Data Marts and Reporting structures including
OLAP cubes --- 7+ years of hands-on relational, dimensional, and/or
analytic experience (using RDBMS, dimensional, NoSQL data platform
technologies, and ETL and data ingestion protocols) --- 7+ years of
experience with database development (SQL, PL/SQL) and scripting
--- Experience with Data Lineage, Metadata Management and Data
Profiling processes and tools Technical Skills:--- Experience with
developing solutions on cloud computing services and infrastructure
in the data and analytics space (Azure or GCP) --- Experience with
tools like Azure Data Factory, Databricks, Integration Runtime
Services --- Experience in Python or Scala --- Expert in T-SQL ---
Big Data development experience using Kafka . Azure EventHub, IoT
Hub --- Familiarity with the Linux operating system --- Minimum 7+
years of experience integrating cloud data services for building
secure data solutions --- Minimum 7+ years of experience
introducing and operationalizing self-service data preparation
tools (e.g., Collibra, Alation, Babylon) --- Minimum 7+ years of
architecting and operating large production SAP/NoSQL clusters on
premise or using Cloud services --- Minimum 1+ years architecting
and implementing metadata on cloud --- Architecting and
implementing data governance and security for data platforms on
cloud --- Designing operations architecture and conducting
performance engineering for large scale data lakes a production
environment --- Craft and lead client design workshops and provide
tradeoffs and recommendations towards building a solutions ---
Bachelor's degree in Computer Science, Engineering, Technical
Science or 5+ years of architecture and build experience with large
scale solutions Professional Skills:--- Strong leadership and
management skills --- Strong communication and interpersonal skills
--- Strong analytical and problem-solving skills and passion for
product development --- Strong understanding of Agile methodologies
and open to working in agile environments with multiple
stakeholders --- Professional attitude and service orientation;
team player --- Ability to translate business needs into potential
analytics solution --- Strong work ethic; ability to work at an
abstract level and gain consensus --- Ability to build a sense of
trust & rapport to create a comfortable & effective workplace
Kimberly-Clark makes the essentials for a better life with
well-known brands that matter every day - at home, school, work and
on the go. Throughout our 148 years, we have challenged
conventional wisdom to innovate products that better meet the needs
of consumers. We have created new categories with top brands like
Kleenex , and redefined categories with Huggies and U by Kotex .
While growing our $18+ billion global business, we help build
careers through collaborative teams that push boundaries and
endless opportunities to work with some of the world s most
recognized brands. Our 43,000 employees are changing the world for
the better, too, generously giving back to communities and causes
around the globe.The statements above are intended to describe the
general nature and level of work performed by employees assigned to
this classification. Statements are not intended to be construed as
an exhaustive list of all duties, responsibilities and skills
required for this position.For Kimberly-Clark to grow and prosper,
we must be an inclusive organization that applies the diverse
experiences and passions of its team members to brands that make
life better for people all around the world. We actively seek to
build a workforce that reflects the experiences of our consumers.
When you bring your original thinking to Kimberly-Clark, you fuel
the continued success of our enterprise..... click apply for full
job details
Keywords: Kimberly-Clark, Mesquite , Senior Cloud Data Engineer, Engineering , Mesquite, Texas
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