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Junior Data Conversion Developer Jobs in New Jersey

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Junior Data Analyst

Newark, NJ · On-site

$30 - $40/hr

Entry Level Data Engineer Full-Time Candidate must be open to relocate Responsibilities: * Work with Hadoop ecosystem technologies such as HDFS, Hive, and MapReduce . * Write and execute SQL queries ...

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Data Scientist- Senior Associate

Montvale, NJ · On-site

$61K - $62K/yr

... engineers, and providing technical leadership to junior data scientists. Responsibilities : • Develop and implement core components of generative AI solutions including RAG pipelines and context ...

Informatica Developer

Mount Laurel, NJ · On-site

$52.75 - $69.25/hr

... Data Conversion & Reporting • Strong Programming, Analytical & Problem Solving Skills • Able to work as an independent team member, capable of applying judgment to plan and execute your tasks ...

... junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis • Act with integrity, professionalism, and personal responsibility to uphold KPMG ...

... junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis • Act with integrity, professionalism, and personal responsibility to uphold KPMG ...

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181K - $201K/yr

... data mining, feature engineering, and model input preparation; manage medium- to large-scale ... junior data scientist and analysts for best AI/ML development practices and project delivery ...

Lead Data Scientist

Woodcliff Lake, NJ · On-site

$181.71 - $201.30/hr

... data mining, feature engineering, and model input preparation; manage medium- to large-scale ... junior data scientist and analysts for best AI/ML development practices and project delivery ...

Apply for job Title: Jr. Java Developer Location: Middlesex, NJ Requirements: * Must Have: * Core ... Data Structures * Experience required: * 3+ years of experience * Knowledge of Agile principles

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Junior Data Conversion Developer information

What is a junior data conversion developer?

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 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 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 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 cities in New Jersey are hiring for Junior Data Conversion Developer jobs?

Cities in New Jersey with the most Junior Data Conversion Developer job openings:

Junior Data Analyst

Tech Consulting

Newark, NJ • On-site

$30 - $40/hr

Full-time

Medical, Dental, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Entry Level Data Engineer

Full-Time

Candidate must be open to relocate


Responsibilities:

  • Work with Hadoop ecosystem technologies such as HDFS, Hive, and MapReduce.
  • Write and execute SQL queries to extract, transform, and analyze data.
  • Create and maintain Hive tables and perform data processing using HiveQL.
  • Load, clean, and validate large datasets stored in Hadoop.
  • Assist senior developers with ETL/data processing workflows.
  • Troubleshoot data-related issues and investigate query or processing errors.
  • Perform basic data analysis and generate reports based on business requirements.
  • Follow data quality, security, and documentation standards.
  • Learn and work with tools such as Linux, Git, Python, or Spark as required.


Required Skills:

  • Basic knowledge of SQL: SELECT, JOIN, GROUP BY, subqueries, aggregate functions.
  • Understanding of Hadoop and HDFS concepts.
  • Basic knowledge of Hive/HiveQL.
  • Familiarity with Linux commands.
  • Understanding of databases and data warehousing concepts.
  • Good problem-solving and analytical skills.


Good to Have:

  • Apache Spark
  • Python
  • ETL concepts
  • Data warehousing
  • Git
  • Cloud platforms such as AWS/Azure/GCP


Thanks