CrawlJobs Logo

Information Engineer Level I (Data Migration Engineer)

arthurlawrence.net Logo

Arthur Lawrence

Location Icon

Location:
United States , Fayetteville, GA

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

Arthur Lawrence is looking for an Information Engineer – Level I (Data Migration Engineer) one of our clients project in Fayetteville, GA.

Requirements:

  • Strong experience in API design and enterprise data integration
  • Advanced expertise in data migration, data modeling, and ETL architecture & development
  • Advanced SQL skills for complex data transformation and analysis

Nice to have:

  • Experience working in Agile environments
  • Knowledge of Oracle databases and FAR compliance

Additional Information:

Job Posted:
February 16, 2026

Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Information Engineer Level I (Data Migration Engineer)

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our growing Quality Engineering t...
Location
Location
Salary
Salary:
Not provided
dataideology.com Logo
Data Ideology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
  • 5+ years of experience in data engineering, data warehousing, or data architecture
  • Expert-level experience with Snowflake, including data modeling, performance tuning, security, and migration from legacy platforms
  • Hands-on experience with Azure Data Factory (ADF) for building, orchestrating, and optimizing data pipelines
  • Strong experience with Informatica (PowerCenter and/or IICS) for ETL/ELT development, workflow management, and performance optimization
  • Deep knowledge of data modeling techniques (dimensional, tabular, and modern cloud-native patterns)
  • Proven ability to translate business requirements into scalable, high-performance data solutions
  • Experience designing and supporting end-to-end data pipelines across cloud and hybrid architectures
  • Strong proficiency in SQL and experience optimizing large-scale analytic workloads
  • Experience working within SDLC frameworks, CI/CD practices, and version control
Job Responsibility
Job Responsibility
  • Ability to collect and understand business requirements and translate those requirements into data models, integration strategies, and implementation plans
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake, ensuring functionality, performance and data integrity
  • Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse
  • Optimize and troubleshoot ETL/ELT workflows, applying best practices for scheduling, orchestration, and performance tuning
  • Maintain documentation, architecture diagrams, and migration plans to support knowledge transfer and project tracking
What we offer
What we offer
  • PTO Policy
  • Eligibility for Health Benefits
  • Retirement Plan
  • Work from Home
  • Fulltime
Read More
Arrow Right

Network Engineer Mid Level

Location
Location
United States , Annapolis Junction
Salary
Salary:
93000.00 - 150000.00 USD / Year
elevi.net Logo
ELEVI Associates
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Willing to work in the Annapolis Junction, MD area
  • Current or active security clearance with a polygraph
  • Over 19+ years of demonstrated experience in planning and leading Systems Engineering efforts
  • Bachelor's degree in System Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline from an accredited college or university (Five (5) years of additional SE experience may be substituted for a Bachelor's degree)
  • IAT Level 2
  • CompTIA Security+ CE
  • Excellent communication and interpersonal skills, with a customer-focused approach to service delivery
  • Experience with data replication, backup, and disaster recovery strategies in both cloud and on-premises environments
  • Expertise in migrating data to Microsoft 365 (M365) and OneDrive, with a solid understanding of cloud migration methodologies
  • In-depth knowledge of NetApp storage systems, including configuration, administration, and performance tuning
Job Responsibility
Job Responsibility
  • Participate in daily network and operational support
  • Lead the migration of data to Microsoft 365 (M365) and OneDrive, ensuring seamless integration and minimal disruption to business operations
  • Design and implement strategies for migrating data from on-premises NetApp storage to M365 and OneDrive, adhering to best practices and security standards
  • Manage and maintain global NetApp storage solutions, including configuration, optimization, and troubleshooting
  • Monitor storage performance and capacity utilization, implementing proactive measures to ensure scalability and reliability
  • Collaborate with cross-functional teams to gather requirements, define project scopes, and deliver storage solutions aligned with business objectives
  • Provide technical expertise and support for storage-related issues, including incident resolution and root cause analysis
  • Develop and maintain documentation, including system configurations, procedures, and operational guidelines
  • Implement and enforce data management policies, ensuring compliance with regulatory requirements and internal standards
  • Stay current with industry trends and emerging technologies related to storage and cloud computing, evaluating and recommending enhancements as appropriate
What we offer
What we offer
  • Healthcare
  • Wellness
  • Financial
  • Retirement
  • Family support
  • Continuing education
  • Time off benefits
  • Competitive compensation
  • Learning and development opportunities
  • Work/life benefits
  • Fulltime
Read More
Arrow Right

Senior Associate Data Engineer

The Senior Associate Data Engineer at NTT DATA will be responsible for transform...
Location
Location
India , Chennai
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
  • Moderate level experience in data engineering, data mining within a fast-paced environment
  • Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale
  • Moderate level experience with architecture and design of secure, highly available and scalable systems
  • Familiarity with automation, scripting and proven examples of successful implementation
  • Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.)
  • Moderate level experience with big data tools like Hadoop, Cassandra, Storm etc.
  • Moderate level experience in any applicable language, preferably .NET
  • Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL
  • Moderate level experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots
Job Responsibility
Job Responsibility
  • Contributes to the creation of data models in a structured data format to enable analysis thereof
  • Proactively supports the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
  • Participates in the transformation of object and data models into appropriate database schemas within design constraints
  • Interprets installation standards to meet project needs and produce database components as required
  • Receives instructions from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
  • Proactively supports the running of data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems
  • Support the definition and implementation of data table structures and data models based on requirements
  • Contributes to analysis, and development of ETL and migration documentation
  • Receives instructions from various stakeholders to evaluate potential data requirements
  • Supports the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
  • Fulltime
Read More
Arrow Right

Senior Associate Data Engineer

The Senior Associate Data Engineer is a developing specialist role, tasked with ...
Location
Location
India , Chennai
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
  • Moderate level experience in data engineering, data mining within a fast-paced environment
  • Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale
  • Moderate level experience with architecture and design of secure, highly available and scalable systems
  • Familiarity with automation, scripting and proven examples of successful implementation
  • Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.)
  • Moderate level experience with big data tools like Hadoop, Cassandra, Storm etc
  • Moderate level experience in any applicable language, preferably .NET
  • Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL
  • Moderate level experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots
Job Responsibility
Job Responsibility
  • Contributes to the creation of data models in a structured data format to enable analysis thereof
  • Proactively supports the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
  • Participates in the transformation of object and data models into appropriate database schemas within design constraints
  • Interprets installation standards to meet project needs and produce database components as required
  • Receives instructions from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
  • Proactively supports the running of data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems
  • Support the definition and implementation of data table structures and data models based on requirements
  • Contributes to analysis, and development of ETL and migration documentation
  • Receives instructions from various stakeholders to evaluate potential data requirements
  • Supports the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
  • Fulltime
Read More
Arrow Right

Data Architect/Databricks Consultant

We are seeking a specialized Databricks Architect with deep expertise in cost op...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
genzeon.com Logo
Genzeon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in big data architecture with focus on cost optimization
  • 5+ years of hands-on Databricks experience with proven cost reduction achievements
  • Demonstrated experience architecting and executing complete platform migrations from Databricks to alternative solutions with successful outcomes
  • 6+ years of advanced Apache Spark development and cluster management experience
  • Track record of achieving significant cost savings (minimum 40%+) in cloud data platforms
  • Expert knowledge of Databricks pricing models, compute types, and cost drivers
  • Experience with FinOps practices and cloud cost management tools
  • Proven ability to implement automated cost controls and budget management systems
  • Knowledge of alternative platforms and their cost structures (EMR, HDInsight, GCP Dataproc, etc.)
  • Deep expertise in migrating complex data workloads between different Spark platforms
Job Responsibility
Job Responsibility
  • Conduct comprehensive cost analysis and auditing of existing Databricks deployments across multiple workspaces
  • Develop and implement aggressive cost reduction strategies targeting 30-50% savings through cluster optimization
  • Design and deploy automated cost monitoring solutions with real-time alerts and budget controls
  • Optimize cluster configurations, auto-scaling policies, and job scheduling to minimize compute costs
  • Implement spot instance strategies and preemptible VM usage for non-critical workloads
  • Establish cost allocation frameworks and implement chargeback mechanisms for business unit accountability
  • Create cost governance policies and developer guidelines to prevent cost overruns
  • Analyze and optimize storage costs including Delta Lake table optimization and data lifecycle management
  • Lead strategic initiatives to migrate workloads away from Databricks to cost-effective alternatives
  • Assess existing Databricks implementations and create detailed migration roadmaps to target platforms
Read More
Arrow Right

Data Engineer

Join NTT DATA as a Data Engineer, where you will transform data into structured ...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
  • Relevant certifications preferred such as SAP, Microsoft Azure etc.
  • Certified Data Engineer, Certified Professional certification preferred
  • Seasoned experience as a data engineering, data mining within a fast-paced environment
  • Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale
  • Seasoned experience with architecture and design of secure, highly available and scalable systems
  • Seasoned proficiency in automation, scripting and proven examples of successful implementation
  • Seasoned proficiency using scripting language (Perl, bash, Shell Scripting, Python, etc.)
  • Seasoned experience with big data tools like Hadoop, Cassandra, Storm etc.
  • Seasoned experience in any applicable language, preferably .NET
Job Responsibility
Job Responsibility
  • Creates data models in a structured data format to enable analysis thereof
  • Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
  • Participates in the transformation of object and data models into appropriate database schemas within design constraints
  • Interprets installation standards to meet project needs and produce database components as required
  • Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
  • Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems
  • Works across multiple IT and business teams to define and implement data table structures and data models based on requirements
  • Accountable for analysis, and development of ETL and migration documentation
  • Collaborates with various stakeholders to evaluate potential data requirements
  • Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
  • Fulltime
Read More
Arrow Right

Associate Director, Data Governance, Standards & Quality, RIM&DO

You will lead data governance, standards and quality activities for Regulatory I...
Location
Location
India; Poland; United Kingdom , Bengaluru; Poznan; London
Salary
Salary:
288000.00 - 480000.00 PLN / Year
us.gsk.com Logo
GSK
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in data, life sciences, IT, engineering or related field, or equivalent experience
  • 10+ years’ experience in data governance, data management, or regulatory information management
  • Hands-on experience defining and implementing data standards, taxonomies or metadata models
  • Experience with data quality tooling, metrics and remediation approaches
  • Strong stakeholder management and ability to influence in matrixed teams
  • Excellent communication skills in English
  • ability to simplify complex topics for diverse audiences
Job Responsibility
Job Responsibility
  • Define, implement and maintain data governance frameworks, standards and policies for regulatory information
  • Drive data quality programs, including data profiling, remediation plans and ongoing monitoring
  • Partner with Regulatory, IT and product teams to embed standards, and data governance and quality by design into systems, processes, and change controls
  • Lead cross-functional working groups to resolve data issues and improve end-to-end data flows
  • Advocacy throughout Regulatory and R&D on rolling out data governance frameworks at operational and strategic levels
  • Develop and report meaningful metrics and dashboards to show data quality, risks and progress
  • Coach and influence stakeholders to adopt data standards and operate with shared accountability
  • Own the design and deployment of data quality monitoring solutions, data standards, and data cataloguing for regulatory information assets
  • Run data stewardship and governance meetings and ensure decisions are tracked and implemented
  • Assess data risks and coordinate remediation with clear timelines and owners
What we offer
What we offer
  • Competitive base salary
  • Annual bonus based on company performance
  • Flexible working options available for most roles
  • Learning and career development
  • Access to healthcare & wellbeing programmes
  • Employee recognition programmes
  • Private healthcare
  • Additional paid days off
  • Life insurance
  • Private pension plan
  • Fulltime
Read More
Arrow Right

Data Engineer

The Data Engineer role at NTT DATA involves transforming data into structured fo...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities
  • Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
  • Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
  • Seasoned understanding of data architecture landscape between physical and logical data models
  • Analytical mindset with excellent business acumen skills
  • Problem-solving aptitude with the ability to communicate effectively, both written and verbal
  • Ability to build effective relationships at all levels within the organization
  • Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)
  • Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
  • Relevant certifications preferred such as SAP, Microsoft Azure etc.
Job Responsibility
Job Responsibility
  • Creates data models in a structured data format to enable analysis thereof
  • Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
  • Participates in the transformation of object and data models into appropriate database schemas within design constraints
  • Interprets installation standards to meet project needs and produce database components as required
  • Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
  • Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems
  • Works across multiple IT and business teams to define and implement data table structures and data models based on requirements
  • Accountable for analysis, and development of ETL and migration documentation
  • Collaborates with various stakeholders to evaluate potential data requirements
  • Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
  • Fulltime
Read More
Arrow Right