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

Data Engineer Big Data Technology

The Applications Development Intermediate Programmer Analyst is an intermediate ...

Location

Singapore , Singapore

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

4-6 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/)
4-6 years of relevant experience in the Financial Service industry
Experienced in working with large and multiple datasets and data warehouses
Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
Strong analytic skills and experience working with unstructured datasets
Ability to effectively use complex analytical, interpretive, and problem-solving techniques
Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira

Job Responsibility

Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems
Apply fundamental knowledge of programming languages for design specifications
Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging
Serve as advisor or coach to new or lower level analysts
Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions
Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Information System Security Engineer (ISSE) / Cybersecurity Systems Engineer (TS Cleared)

We are currently seeking a Information System Security Engineer (ISSE) / Cyberse...

Location

United States , Quantico

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's degree in related fields (e.g. Computer Management Information Systems, Computer Science) or six (6) years applicable experience to include four (4) years of specialized experience
Minimum 5 years supporting Information Security roles/responsibilities as listed above
One or more of the following certications: ISC2 CGRC, ISC2 SSCP, CompTIA CySA+, CompTIA Security+ CE, and/or ISC2 Certified in Cybersecurity
Active Top Secret security clearance

Job Responsibility

Manage, monitor, and maintain IT infrastructure to ensure system uptime and optimal performance
Maintain performance to ensure that the throughput of the system does not degrade unexpectedly as the volume of work increases
Perform regular system backups, recovery procedures, and data management tasks
Provide technical support and assistance to users
Develop and maintain system documentation, including configurations, procedures, and troubleshooting guides
Plan and implement software updates, hardware upgrades, and migrations with minimal disruption to operations
Provide technical support for systems and applications
Monitor and optimize the performance of the infrastructure
Develop and implement backup and recovery strategies
Ensure compliance with security and regulatory standards

Fulltime

Data Engineer

The Data Engineer is a seasoned subject matter expert, responsible for the trans...

Location

Thailand , Bangkok

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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

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

Data Engineer

Lamb Weston is pursuing a modernization of its data assets and analytics environ...

Location

United States , Eagle

Salary:

86380.00 - 129570.00 USD / Year

Lamb Weston

Expiration Date

August 09, 2026

Requirements

Minimum BS in Computer Science or related field or combination of education and experience sufficient to perform duties at an experienced level
Minimum of 3 years experience in a technical environment with data warehouse design and implementation
3 years of programming experience in SQL, Java or Python
In depth knowledge of Snowflake
Knowledge of Informatica
1 year+ working as a DBA
Demonstrated ability to work in a team and collaborative environment
Strong communication and interpersonal skills
Love of learning new technologies and having fun
Ability to travel 10% of the time

Job Responsibility

Design, build and maintain data warehouses (existing and from scratch) using Kimball and modern data methodologies
Debug support issues with the legacy environment and support our business users
Design and implement efficient data pipelines (ETLs) to integrate data from a variety of sources into Data Warehouse as well as data model changes that align with warehouse standards and backfill or other warehouse data management processes
Evaluates data design, database architecture, metadata and repositories for performance and effective design
Develop scalable ETL data pipelines with python, SQL, and AWS cloud tools
Optimization of existing SQL queries to improve reliability and performance
Develop and execute testing strategies to ensure high quality warehouse data
Provide documentation, training, and consulting for data warehouse users
Work with cross functional stakeholders to design and architect data warehouse and analytics solutions
Perform requirement and data analysis in order to support warehouse project definition

What we offer

Health Insurance Benefits - Medical, Dental, Vision
Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts
Well-being programs including companywide events and a wellness incentive program
Paid Time Off
Financial Wellness – Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance
Family-Friendly Employee events
Employee Assistance Program services – mental health and other concierge type services

Fulltime

Data Engineer

The Associate Data Engineer is an entry level role within the Data Engineering j...

Location

Malaysia , Selangor Darul Ehsan, 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
Programming languages (Perl, bash, Shell Scripting, Python, etc.)
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Basic experience as a data engineering, data mining within a fast-paced environment

Job Responsibility

Supports the creation of data models in a structured data format to enable analysis thereof
Assists with 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. Interpret installation standards to meet project needs and produce database components as required
Takes direction from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Assists with running data migrations across different databases and applications, for example, MS Dynamics, Oracle, SAP and other ERP systems
Supports the definition and implementation of data table structures and data models based on requirements
Takes part in analysis, and development of ETL and migration documentation
Receives detailed instructions from various stakeholders to evaluate potential data requirements
Assists with the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
Takes direction from various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models

Fulltime

Data Engineer

The Senior Data Engineer is an advanced subject matter expert, accountable for t...

Location

India , Hyderabad

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Advanced knowledge of the definition and management of scoping requirements, definition and prioritization activities
Advanced understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Advanced expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Advanced 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 think strategically and build effective relationships at all levels within the organization
Advanced 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

Designs 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 produces database components as required
Directs test scenarios and is 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
Works 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

Data Engineer

We are looking for a Data Engineer to support a long-term contract assignment in...

Location

United States , Beverly Hills

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering, data migration, system onboarding, or similar project-based data work
Strong hands-on ability with structured data sets, spreadsheets, data templates, and ETL-oriented processes
Proficiency with Python and experience working with technologies such as Apache Spark, Hadoop, and Kafka
Understanding of identity and access management concepts, including users, groups, and directory-based administration in Active Directory
Ability to investigate data discrepancies, resolve quality issues, and maintain high levels of accuracy across integrated systems
Experience partnering with both technical and non-technical stakeholders, including operational teams such as Facilities
Preferred background with access control or identity platforms such as Genea, Okta, CCure, or similar tools
Genea expertise with substantial hands-on administrative experience is highly valued

Job Responsibility

Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin
Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment
Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems
Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy
Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions
Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards
Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows
Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments
Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations

What we offer

Medical, vision, dental, and life and disability insurance
Company 401(k) plan

Fulltime

Data Engineer

The Data Engineer is a seasoned subject matter expert, responsible for the trans...

Location

Indonesia , Jakarta Selatan

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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
Seasoned experience as a data engineering, data mining within a fast-paced environment

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

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Information Engineer Level I (Data Migration Engineer)

Job Description

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