Information Engineer Level I (Data Migration Engineer) Job at Arthur Lawrence (Fayetteville, GA)

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our growing Quality Engineering t...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

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

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

PTO Policy
Eligibility for Health Benefits
Retirement Plan
Work from Home

Fulltime

Senior Data Engineer

The mission of the business intelligence team is to create a data-driven culture...

Location

India , Hyderabad

Salary:

Not provided

Randstad

Expiration Date

February 28, 2026

Requirements

Master’s degree in Computer Science / Information Technology or related field, highly preferred
Extensive knowledge of BI concepts and related technologies that help drive sustainable technical solutions
Extensive Experience with data lakes, ETL and data warehouses
Advanced experience of building data pipelines
Passion for building quality BI software
Project Management and/or process improvement experience highly preferred
Polyglot coder and expert level in multiple languages including, Python, R, Java, SQL, relational databases, ERP, DOMO or other data visualization tools i.e. Tableau
Advanced and proven experience with Google cloud platform (GCP) is preferred. But experience with Microsoft Azure / Amazon will be considered
Any exposure to Kafka, Spark, and Scala will be an added advantage
Should demonstrate a strong understanding of OOPS concepts and methodologies

Job Responsibility

Architect and build complex data pipelines using advanced cloud data technologies
Lead efforts to optimize data pipelines for performance, scalability, and cost-efficiency
Define industry best practices for building data pipelines
Ensure data security, compliance, and governance standards are met
Partner with leadership team to define and implement agile and DevOps methodologies
Serve as subject matter expert and define data architecture and infrastructure requirements
Partner with business analysts to plan project execution including appropriate product and technical specifications, direction, resources, and establishing realistic completion times
Understand data technology trends and identify opportunities to implement new technologies and provide forward-thinking recommendations
Proactively partner with internal stakeholders to bridge gaps, provide historical references, and design the appropriate processes
Design and implement a robust data observability process

Fulltime

Network Engineer Mid Level

Location

United States , Annapolis Junction

Salary:

93000.00 - 150000.00 USD / Year

ELEVI Associates

Expiration Date

Until further notice

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

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

Healthcare
Wellness
Financial
Retirement
Family support
Continuing education
Time off benefits
Competitive compensation
Learning and development opportunities
Work/life benefits

Fulltime

Senior Project Manager, Product Information Management

We are seeking an experienced Senior Project Manager to lead a high-visibility P...

Location

United States , Iselin

Salary:

Not provided

Renner Brown

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Information Systems, Business, Engineering, or a related field required
PMP or similar project management certification preferred
7 or more years managing large-scale digital, IT, or data projects
Strong experience with product information management platforms (for example Contentserv, Akeneo, Informatica PIM, Stibo STEP, or other modern PIM tools)
Demonstrated success leading data migration and data governance initiatives
Experience managing global cross-functional teams and external vendors
Familiarity with industrial, manufacturing, or healthcare product data is preferred
Expert-level project management and proficiency with tools such as Smartsheet, MS Project, or Jira
Strong analytical abilities and comfort working with large, complex data sets
Excellent communication skills, with the ability to simplify complex concepts

Job Responsibility

Lead end-to-end planning and delivery of PIM-related initiatives, including data migration, cleansing, validation, and readiness activities
Maintain detailed project plans and action trackers, ensuring clear timelines, owners, and deliverables
Oversee project reporting, identify risks, and manage dependencies across workstreams
Coordinate testing and approval cycles to ensure the accuracy and completeness of product data
Serve as the primary communication point between Digital, IT, Product, Category, and regional teams
Facilitate project meetings, prepare status updates, and summarize risks and decisions for senior leadership
Translate technical topics into clear, actionable information for non-technical stakeholders
Promote transparency and alignment across all participating teams
Oversee data taxonomy, structuring, enrichment workflows, and data quality standards within the PIM environment
Partner with business and IT teams on migration from legacy systems into the chosen PIM solution

Senior Associate Data Engineer

The Senior Associate Data Engineer at NTT DATA will be responsible for transform...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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

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

Senior Associate Data Engineer

The Senior Associate Data Engineer is a developing specialist role, tasked with ...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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

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

Data Architect/Databricks Consultant

We are seeking a specialized Databricks Architect with deep expertise in cost op...

Location

India , Hyderabad

Salary:

Not provided

Genzeon

Expiration Date

Until further notice

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

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

Data Engineer

Join NTT DATA as a Data Engineer, where you will transform data into structured ...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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

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

Information Engineer Level I (Data Migration Engineer)

Arthur Lawrence

Location:
United States , Fayetteville, GA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 16, 2026

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