Job Description
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a global professional services firm specializing in digital transformation, business process management (BPM), analytics, and AI-driven solutions. The company partners with organizations to improve efficiency, transform operations, and drive business outcomes through a combination of process expertise, technology, and data insight.
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a global professional services firm specializing in digital transformation, business process management (BPM), analytics, and AI-driven solutions. The company partners with organizations to improve efficiency, transform operations, and drive business outcomes through a combination of process expertise, technology, and data insight.
Job Title: Scala Sparks Developer
Location: Newyork City, NY 10175
Duration: 6 months
Job Type: Temporary Assignment
Work Type: Hybrid
Duration: 6 months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Summary:
Key Responsibilities
- Develop, test, and maintain scalable data processing pipelines using Scala and Apache Spark.
- Implement data transformation and ETL workflows to handle structured and unstructured data.
- Utilize Python for data processing, scripting, and integrating Spark workflows.
- Optimize performance of Spark applications through tuning, partitioning, and caching strategies.
- Participate in code reviews, design discussions, and ensure adherence to best practices.
- Document workflows, architecture, and solutions for internal knowledge sharing.
Required Qualifications
- Strong experience in Scala and Apache Spark (Spark Core, Spark SQL, DataFrames, RDDs).
- Proficiency in Python for data manipulation, scripting, and automation.
- Proven experience with distributed computing concepts and large-scale data processing.
- Knowledge of ETL development, data warehousing, and data modeling techniques.
- Familiarity with Big Data ecosystems such as Hadoop, Hive, Kafka, or HBase is a plus.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience with cloud platforms such as AWS, GCP, or Azure (particularly with Spark services).
- Familiarity with streaming data processing using Spark Streaming or Structured Streaming.
- Knowledge of data governance, security, and compliance practices.
- Basic understanding of machine learning workflows is advantageous.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Numbers & Facts
| Location | New York city, NY |
| Industry | Computer/IT Services |
| Salary | $46–$50 |
| Company Size | 100 to 499 employees |
| Year Founded | 2009 |
| Website | http://www.tekwissen.com/ |
About Company
WE THE TEKWISSEN PEOPLE
TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.
To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.
Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.
It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.
Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.Skills
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