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Urgent! DATA COMM ENGINEER III Job Opening In Newark New Jersey – Now Hiring PEAK Technical Services Inc.



Job description

Data Engineer

 

We’re seeking a Data Engineer who is motivated by variety, is seeking a challenging environment for professional growth, and is interested in supporting large information technology projects for one of our clients in the northeast.

 

The Data Engineer will build and maintain the infrastructure for the organization's data by designing, constructing, and optimizing data pipelines and architecture.

 

Location: This position located in Newark, NJ.

Ideal candidate must be local to the area and able to go into the office periodically when needed.

If not local, they must be willing to travel as needed.

 

Responsibilities:


  • Ingest data from SAP, Salesforce, Google Analytics, OKTA, and other sources into AWS S3 Raw layer

  • Curate and transform data into standardized datasets in the Curated layer

  • Define and implement data mapping and transformation logic/code and load data into Redshift tables and views for optimal performance

  • Deploy and promote data pipeline code from lower environments (Dev/Test) to Production following PSEG governance and change control processes

  • Develop and maintain ELT/ETL pipelines using AWS Glue, Step Functions, Lambda, DMS, and AppFlow

  • Automate transformations and model refresh using Python, PySpark and SQL

  • Implement end-to-end source-to-target data integration, mapping and transformation across data source → Raw → Curated → Redshift

  • Proficient in Redshift SQL for transformations, optimization, and model refresh

  • Integrate with on-prem and SaaS data sources, such as SAP (via Simplement), Salesforce, OKTA, MuleSoft and JAMS

  • Implement CI/CD deployment using Github

  • Familiar with CloudWatch, CloudTrail, Secrets Manager for monitoring and security

  • Manage metadata and lineage via AWS Glue Data Catalog


 

Required Education & Experience:


  • Bachelor's degree in related field with 8+ years of experience as a data engineer Additional years of experience may be considered in lieu of a degree.


  • Proficiency in programming languages like Python or Java, strong SQL skills, and knowledge of big data tools like Apache Hadoop, Spark, or Kafka.


  • Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, Redshift, BigQuery)

  • Self-driven and have demonstrated the ability to work independently with minimum guidance

  • Demonstrated multitasking ability, problem solving skills and a consistent record of on time delivery and customer service

  • Excellent organizational and communication skills


 

Preferred Qualifications:


  • Utilities experience

  • AWS Certified Data Engineer – Associate

  • AWS Certified Developer – Associate


Benefits:

PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future.



PEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan.



Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws.



Equal Opportunity Employer (EEO):

PEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer.

PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law.

All employment decisions are made based on qualifications, merit, and business need.

We encourage all individuals to apply.



Candidate Privacy

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to (url removed) and (url removed)


Required Skill Profession

Architecture And Engineering



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