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Junior Data Conversion Developer Jobs in Georgia

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA · On-site

This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff. Thanks and ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Mentors team of more Junior Data Engineers. * Collaborates across multiple projects to provide data engineering expertise across teams. * Analyzes most relevant insights and shares with leadership to ...

Amazon

Data Engineer II - AMZ27052.1

Atlanta, GA · On-site

$132K - $178K/yr

Mentor junior data engineers. (40 hours / week, 8:00am-5:00pm, Salary Range $132100 - $178800) Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability ...

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

... and develop junior data scientists. • Collaborate with cross-functional teams including product managers, engineers, and business leaders. • Build evaluation frameworks to measure LLM ...

4P Consulting Inc.

Data Scientist 2 4P/187

Atlanta, GA · On-site

Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals. 12. Mentorship: * Provide guidance and mentorship to junior data scientists and ...

Alliance Technical Group

SR Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

Mentor junior data engineers, providing technical guidance, code reviews, and best practices Required Qualifications * Bachelor's degree in Computer Science, Information Systems, or related field (or ...

krg technology inc

SFDC Developer

Atlanta, GA

... data conversion Experience in using efficient methodologies (e.g. Agile - Extreme programing ... writing user stories, and test driven development) and continuous deployment tools (e.g. Jenkins ...

FIS

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Drive model lifecycle management, including feature engineering, model training, validation, deployment, monitoring, retraining, and performance optimization. * Mentor and develop junior data ...

FutureSoft Consulting Inc

Junior .NET Developer

Atlanta, GA · On-site

$64K - $83K/yr

Job Summary We are seeking a Junior .NET Developer to support application development, testing ... Use SQL to query, analyze, and support application data. Assist with configuration and support of ...

krg technology inc

Sales force Developer

Atlanta, GA · On-site

$53.25 - $70.75/hr

... data conversion Experience in using efficient methodologies (e.g. Agile - Extreme programing ... writing user stories, and test driven development) and continuous deployment tools (e.g. Jenkins ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · Hybrid

Drive model lifecycle management, including feature engineering, model training, validation, deployment, monitoring, retraining, and performance optimization. * Mentor and develop junior data ...

Accenture

Oracle Utilities WACS Manager

Atlanta, GA · On-site

$94K - $266K/yr

... and developers to ensure conversion routines align with functional designs and data quality ... Mentor junior team members and coordinate across onshore and offshore delivery teams. Travel may be ...

Paul Hastings

Senior Data Engineer

Atlanta, GA

$194K/yr

Implement robust DevOps pipelines for code versioning, testing, deployment and monitoring ... Mentor junior data engineers and promote best practices in CI/CD, version control, and release ...

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Junior Data Conversion Developer information

What are the key skills and qualifications needed to thrive as a Junior Data Conversion Developer, and why are they important?

To thrive as a Junior Data Conversion Developer, you need a solid understanding of database concepts, data mapping, and proficiency in programming languages like SQL or Python, often supported by a relevant degree or technical certification. Familiarity with ETL tools (such as Informatica or Talend), data migration frameworks, and source/target system architectures is typically required. Strong problem-solving skills, attention to detail, and effective communication help in identifying data issues and collaborating with cross-functional teams. These skills ensure accurate, efficient data transformation and integration, which are critical for project success and data integrity.

What is the difference between Junior Data Conversion Developer vs Data Migration Specialist?

AspectJunior Data Conversion DeveloperData Migration Specialist
CredentialsBasic programming, database knowledge, entry-level certificationsSimilar technical skills, often with additional project management certifications
Work EnvironmentDevelopment teams, data processing projects, entry-level rolesData management projects, enterprise environments, often more client-facing
Industry UsageIT, software, data servicesIT, consulting, enterprise data management
Search & ComparisonOften compared for entry-level roles in data conversionMore advanced, but related, roles in data migration

The Junior Data Conversion Developer primarily focuses on converting data formats and ensuring data integrity during development. In contrast, a Data Migration Specialist handles larger-scale data transfer projects across systems, often involving planning and execution. While both roles require similar technical skills, the Junior Data Conversion Developer is more entry-level and development-focused, whereas the Data Migration Specialist involves broader project management and enterprise-level tasks.

What are some common challenges faced by Junior Data Conversion Developers during migration projects?

Junior Data Conversion Developers often encounter challenges such as handling inconsistent or incomplete legacy data, adapting to different data formats, and ensuring data integrity throughout the migration process. Collaborating closely with senior developers and business analysts is crucial to accurately interpret client requirements and resolve data discrepancies. Additionally, managing time effectively to meet project deadlines while learning new tools and technologies can be demanding, but it also provides significant opportunities for skill development and growth within the field.

What are Junior Data Conversion Developers?

Junior Data Conversion Developers are entry-level professionals who assist in transforming data from one format to another, often as part of system migrations, software upgrades, or data integration projects. They work under the guidance of senior developers and typically use programming languages, scripts, or specialized tools to extract, transform, and load (ETL) data. Their responsibilities often include analyzing source and target data structures, writing conversion routines, testing data integrity, and troubleshooting issues. This role is crucial for organizations that need to move or consolidate data while ensuring accuracy and minimal disruption.
What are the most commonly searched types of Data Conversion Developer jobs in Georgia? The most popular types of Data Conversion Developer jobs in Georgia are:
What cities in Georgia are hiring for Junior Data Conversion Developer jobs? Cities in Georgia with the most Junior Data Conversion Developer job openings:
Junior Data Conversion Developer jobs near you
DATA SCIENTIST

DATA SCIENTIST

4P Consulting Inc.

Forest Park, GA • On-site

Contractor

Re-posted 16 days ago

Job description

HI,

Hope you're doing well

This is pankaj from 4P Consulting Please see below job description

Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C

  • A Data Scientist with 5 to 10 years of
    experience is responsible for leveraging
    data to uncover insights, create predictive
    models, and drive data-driven decision-
    making within an organization.
  • This role
    involves advanced analytics, machine
    learning, and strong problem-solving skills
    to extract actionable information from
    large datasets. Key Responsibilities: Data
    Analysis: Collect, clean, and analyze
    complex datasets to identify trends,
    patterns, and actionable insights.
  • Use
    statistical techniques to uncover
    meaningful information from data.
    Predictive Modeling: Develop and deploy
    machine learning models to predict future
    trends, behaviors, and outcomes. Apply
    regression analysis, clustering,
    classification, and other modeling
    techniques.
  • Data Visualization: Create
    compelling data visualizations to
    communicate findings effectively to both
    technical and non-technical stakeholders
    using tools like Tableau, Power BI, or
    Python libraries. Hypothesis Testing:
    Formulate and test hypotheses, providing
    statistical validation for business
    decisions and recommendations.
  • Feature
    Engineering: Engineer and select relevant
    features for machine learning models,
  • enhancing their predictive power.
    Algorithm Development: Build and fine-
    tune machine learning algorithms, such
    as decision trees, random forests, neural
    networks, and more, depending on the
    specific problem.
  • Data Integration:
    Collaborate with IT and database
    administrators to integrate and access
    data from various sources and data
    warehouses. Model Deployment: Deploy
    machine learning models in production
    environments to support real-time
    decision-making. A/B Testing: Design and
    analyze A/B tests to measure the impact
    of changes and improvements. Data
    Ethics:
  • Ensure ethical data practices,
    including privacy and compliance with
    data protection regulations. Cross-
    functional Collaboration: Collaborate with
    cross-functional teams, including
    engineers, business analysts, and domain
    experts, to understand business
    requirements and align data science
    initiatives with organizational goals.
    Mentorship:
  • Provide guidance and
    mentorship to junior data scientists and
    analysts, fostering their professional
    growth. Continuous Learning: Stay
    updated on the latest data science tools,
    techniques, and trends through ongoing
    professional development. Qualifications:
    Bachelors degree in a quantitative field
    (e.g., Computer Science, Statistics,
    Mathematics, Engineering); a Masters or
    Ph.D. is a plus.
  • 5 to 10 years of experience
    in data science, including machine
    learning and statistical analysis.
    Proficiency in data analysis tools and
    programming languages such as Python,
    R, or Julia. Strong knowledge of machine
    learning algorithms and their applications.
    Experience with data visualization toolslike Tableau, Power BI, or data
    visualization libraries in Python (e.g.,
    Matplotlib, Seaborn). Solid understanding
    of databases and data manipulation using
    SQL. Excellent problem-solving and
    critical thinking skills. Strong
    communication skills to convey complex
    findings and insights to both technical and
    non-technical stakeholders. Familiarity
    with big data technologies and distributed
    computing frameworks is a plus (e.g.,
    Hadoop, Spark). Knowledge of data
    ethics, privacy, and compliance
    considerations.
  • A Data Scientist with 5 to
    10 years of experience is a critical asset to
    an organization, capable of transforming
    data into actionable insights, building
    predictive models, and driving data-driven
    decision-making. This role requires a
    strong foundation in data science
    techniques, programming, and advanced
    analytics, as well as the ability to
    collaborate with various teams and
    mentor junior staff.

Thanks and Regards

Sr. Talent Acquisition Specialist

Pankaj Mishra

Pankaj.Mishra@4pconsultinginc.com

+1 205-756-4834