Enhance IT
Posted 97 days agoVerified live 2d ago
Data Engineer
Brief overview
Massachusetts, United StatesIn-person
UndergradOr in progress
$30–$40/hrStated range
2 H-1B approvalsDept. of Labor
Knowledge of SQL and relational databasesFamiliarity with Python, Java, or ScalaUnderstanding of data structures and algorithmsStrong analytical and problem-solving skillsGood communication and teamwork abilitiesWillingness to learn new technologiesFamiliarity with Apache SparkKnowledge of ETL processesBasic understanding of Linux operating systemsFamiliarity with Git version control
About the company
Enhance ITenhanceit.com
Enhance IT is an information technology firm that provides company infrastructure, cybersecurity, mobile apps, data science & big data.
Visa sponsorship history
2 years sponsoring, last filed FY2024
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.2H-1B approved
67%approval rate
1new H-1B hires
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231
20241
Job description
Summary
Enhance IT is seeking a motivated Entry-Level Big Data Analyst to join their data team. The ideal candidate will assist in collecting, processing, and analyzing large datasets to help drive business decisions.
Responsibilities
- Collect, clean, and organize large datasets from multiple sources
- Assist in developing and maintaining data pipelines
- Analyze structured and unstructured data to identify trends and patterns
- Create dashboards and reports using data visualization tools
- Support senior data engineers and data scientists with data preparation
- Write SQL queries to extract and manipulate data
- Monitor data quality and resolve data inconsistencies
- Document data processes and maintain technical documentation
- Collaborate with cross-functional teams to understand business requirements
Skills
- Bachelor's degree in computer science, Information Technology, Data Science, Statistics, Mathematics, or a related field
- Basic understanding of big data concepts and technologies
- Knowledge of SQL and relational databases
- Familiarity with Python, Java, or Scala
- Understanding of data structures and algorithms
- Strong analytical and problem-solving skills
- Good communication and teamwork abilities
- Willingness to learn new technologies
- Basic knowledge of Hadoop ecosystem (HDFS, MapReduce, Hive)
- Familiarity with Apache Spark
- Experience with data visualization tools such as Power BI or Tableau
- Understanding of cloud platforms such as AWS, Azure, or Google Cloud
- Knowledge of ETL processes
- Basic understanding of Linux operating systems
- Familiarity with Git version control
Qualifications
Must Haves
- Bachelor's degree in computer science, Information Technology, Data Science, Statistics, Mathematics, or a related field
- Basic understanding of big data concepts and technologies
- Knowledge of SQL and relational databases
- Familiarity with Python, Java, or Scala
- Understanding of data structures and algorithms
- Strong analytical and problem-solving skills
- Good communication and teamwork abilities
- Willingness to learn new technologies
Nice to Haves
- Basic knowledge of Hadoop ecosystem (HDFS, MapReduce, Hive)
- Familiarity with Apache Spark
- Experience with data visualization tools such as Power BI or Tableau
- Understanding of cloud platforms such as AWS, Azure, or Google Cloud
- Knowledge of ETL processes
- Basic understanding of Linux operating systems
- Familiarity with Git version control
