3 data engineer Jobs in birmingham, al
LanceSoft Inc is Hiring a Data Engineer Near Birmingham, AL
2 days a week onsite
Location - Birmingham, AL
Primary Responsibilities
Partners with **Technology partners to Design, Build, and Maintain the data-based structures and systems in support of Data and Analytics and Data Product use cases
Builds data pipelines to collect and arrange data and manage data storage in ** big data environment
Builds robust, testable programs for moving, transforming, and loading data using big data tools such as Spark.
Coordinates design and development with Data Products Partners, Data Scientists, Data Management, Data Modelers, and other Technical partners to construct strategic and tactical data stores
Ensures data is prepared, arranged and ready for each defined business use case
Designs and deploys frameworks and micro services to serve data assets to data consumers
Collaborates and aligns with technical and non-technical stakeholders to translate customer needs into Data Design requirements, and work to deliver world-class visualizations, data stories while ensuring data quality and integrity
Provides consultation to all areas of the organization that plan to use data to make decisions
Supports any team members in the development of such information delivery and aid in the automation of data products
Acts as trusted adviser and partner to business leads- assisting in the identification of business needs & data opportunities, understanding key drivers of performance, interpreting business case data drivers, turning data into business value, and participating in the guidance of the overall data and analytics strategy
Requirements
Bachelor's degree in Business or a technical related field
Three (3) years of data-oriented experience including experience managing data and analytics resources
Preferences
Prior banking or financial Services experience
Experience developing solutions for the financial services industry
Background in Big Data Engineering and Advanced Data Analytics
Skills and Competencies
Experience with python and SQL
Experience with Snowflake, AWS, or other cloud technologies
Experience building data solutions at scale
Experience designing and building relational data structures in multiple environments
Proven record of accomplishment of delivering operational Data solutions including Report and Model Ready Data Assets
Significant experience working with senior executives in the use of data, reporting and visualizations to support strategic and operational decision making
Strong ability to transform and integrate complex data from multiple sources into accessible, understandable, and usable data assets and frameworks
Strong background in synthesizing data and analytics in a large (fortune 500), complex, and highly regulated environment
Job Summary
Full Time
$107k-132k (estimate)
05/02/2024
05/15/2024
lancesoft.com
HERNDON, VA
500 - 1,000
2000
Private
DIVYA GANDHI
$200M - $500M
Business Services
Related Companies
About LanceSoft Inc
LanceSoft is a provider of application development, management outsourcing and data-warehousing services to the aerospace and automotive sectors.
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Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Engineer jobs
Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.
