Data Engineer
- Cherry Hill, NJ, United States
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Job details
- Posting language
- English
- Posted
Original job description
Compensation
$
Hours Per Week
40
Number Of Positions
1
Job Description
Critical role designing, developing and maintaining scalable data pipelines, data sets, and systems for the company’s data infrastructure. Will be collaborating with stakeholders to understand data requirements; Develop ETL (Extract, Transform, Load) processes to change raw data into usable formats for analysis, use and cost effectiveness utilizing techniques such as partitioning, indexing, and caching; Design and implement data models to support the business analytical and reporting needs; ensure data integrity, consistency, and performance and identify errors and performance issues; perform data quality checks for accuracy and consistency of data across systems and platforms; Work closely with business analysts/software engineers to understand their data needs and provide technical expertise and support. Document data pipelines, processes, and best practices for knowledge sharing and future reference; Identify and resolve issues to ensure uninterrupted data flow and availability. Relocation/ telecommuting may be required plus travel to various unanticipated client locations within the United States for short and long term assignments.
Languages, skills and tools: Any suitable combination of the following tools: SQL, Python, AWS, Databricks, Apache Airflow, Apache Kafka, Unix, Bash scripting, GitHub, JIRA, PostgreSQL, Tableau, RabbitMQ, Linux, Oracle, SQL Server, StreamSets, Informatica, Teradata, Stotle, Alteryx, Control-M, R, DBT, Spark, AI/ML Frameworks
Education:
Masters degree in Computer Science/Computer Applications/Business Analytics, Engineering (Electronics & Communication/Mechanical/ Civil/ Electronics) Will accept Bachelors degree in Computer Science/Computer Applications/Business Analytics, Engineering (Electronics & Communication/Mechanical/ Civil/ Electronics) plus five (5) years of progressive experience in related fields in lieu of Masters Degree. Will accept foreign education US equivalent.
Place of Work
Hybrid
Requisition ID
DIGI-DE - NSB
Application Email
hr@digipulsetech.com
More about this job
Skills
- Data engineering
- Data models
- Reporting
- Statistical quality control
- Provide technical expertise
- SQL
- Python
- AWS
- Databricks
- Apache Airflow
- Apache Kafka
- UNIX
- Bash
- GitHub
- Atlassian JIRA
- PostgreSQL
- Tableau
- RabbitMQ
- Linux
- Oracle
- Microsoft SQL Server
- Informatica
- Teradata
- Alteryx
- R
- Apache Spark
- ML
- Computer science
- Google Analytics
- Communication skills