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

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 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 , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Knowledge of the definition and management of scoping requirements, definition and prioritization activities
Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Understanding of data architecture landscape between physical and logical data models
Analytical mindset with good 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

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

Senior Associate Data Engineer

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

Location

Malaysia , Selangor

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Knowledge of the definition and management of scoping requirements, definition and prioritization activities
Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Understanding of data architecture landscape between physical and logical data models
Analytical mindset with good 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
Moderate level experience in data engineering, data mining within a fast-paced environment

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 Engineer

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

Location

India , New Delhi

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Knowledge of the definition and management of scoping requirements, definition and prioritization activities
Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Understanding of data architecture landscape between physical and logical data models
Analytical mindset with good 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
Moderate level experience in data engineering, data mining within a fast-paced environment

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

As a Data Architect, you are passionate about experience innovation and eager to...

Location

India , Bengaluru

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
3NF — operational and transactional layer design
Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
Data Vault 2.0 — hubs, links, satellites, business keys
Data mesh & domain-oriented data product design
Architecture Decision Records (ADRs) and C4 modelling
Data contract design — schema, SLAs, versioning
Data catalogue & metadata management design

Job Responsibility

Define and document the end-to-end target-state data architecture for enterprise client programmes — covering ingestion, storage, transformation, serving, and consumption layers
Establish domain-driven data architecture boundaries aligned to business domains (e.g. Product, Customer, Order, Finance) using Domain-Driven Design (DDD) principles
Lead architecture design sessions with clients to align on technology choices, topology, and migration sequencing
Produce architecture artefacts to a consultancy standard: C4 diagrams, data flow diagrams, architecture decision records (ADRs), and technology selection rationale documents
Evaluate and recommend GCP-native vs. third-party component trade-offs — with clear cost, scalability, and maintainability justification
Define and enforce enterprise data modelling standards across the programme — covering 3NF (operational layer), dimensional modelling (Kimball star/snowflake for analytics), and Data Vault 2.0 (historized, auditable Lakehouse layers) as appropriate
Establish canonical data models for core business domains — ensuring consistency across squads and brands or business units
Design and govern the metadata framework: schema standards, naming conventions, entity definitions, data dictionaries, and lineage documentation
Oversee data contract design between producing and consuming domains — defining SLAs, schemas, versioning, and change management protocols
Ensure models are optimized for the target query engine — BigQuery partitioning/clustering strategies, Delta Lake Z-ordering, and Databricks Photon engine considerations

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

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Information Engineer Level I (Data Migration Engineer)

Job Description

Requirements

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