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Data Engineer Developer Jobs
Company | Harvey Nash |
Address | Newark, NJ, United States |
Employment type | CONTRACTOR |
Salary | |
Category | Financial Services,Investment Banking,Investment Management |
Expires | 2023-07-30 |
Posted at | 9 months ago |
Title: Data Engineer Developer
Type: long term contract
Location: Hybrid(2-3 days onsite per week)
Must Have: big data/hadoop, containers, devops, methodlogies, AWS (S3, EC2,) PYTHON, ETL, SQL. Fixed Income or Financial background is huge plus.
Job description:
Our client is seeking a determined professional to fulfill a Data Engineering role within our Technology Solutions Group. As a Cloud Data Engineer Developer, you will be responsible for designing, developing, and maintaining data pipelines and data infrastructure on cloud platforms. You will work closely with cross-functional teams to ensure the efficient extraction, transformation, loading, and analysis of data from various sources into our cloud-based data systems. Below are the requirements for this role:
Required Skills:
- Knowledge of SQL, database systems, and data querying optimization techniques.
- Proficiency in programming language Python, for data engineering and scripting tasks.
- Strong expertise in AWS cloud platforms and related services like S3, EC2, Lambda, Glue etc.
- Familiarity with data warehousing concepts and technologies like Redshift, Snowflake, or Synapse Analytics.
- Solid understanding of data modeling, data governance, and data quality principles.
- Experience with data integration and ETL tools like Apache Spark, DBT or cloud-native solutions.
- Proven experience as a Data Engineer or similar role, with a focus on cloud-based data engineering.
- Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's degree preferred).
Desired Skills:
- Knowledge of Jira, Confluence, SAFe development methodology & DevOps
- Direct experience supporting multiple business units for foundational data work and sound understanding of capital markets within Fixed Income
- Good exposure to Containers like ECS or Docker
- Proven ability to work quickly in a dynamic environment.
- Experience working in Hadoop or other big data platforms
- Exposure to deploying code through pipeline
- Excellent analytical and problem-solving skills with the ability to think quickly and offer alternatives both independently and within teams.
A reasonable, good faith estimate of the minimum and maximum for this position is $70/hour to $75/hour with limited benefits.
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