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Jobs or company...

Data Modeler (Hybrid Onsite) - W2 contract only

  • Full Time, onsite
  • Xoriant Corporation
  • On Site Hybrid3 days a week hybrid, United States of America
Salary undisclosed
Checking job availability...
Original
Simplified

Job Title : Data Modeler

Client Location: Boston/Quincy, MA or Hartford, CT (Hybrid 3 days a week onsite)

Contract: W2

Duration: Long term contract
 Job Description:

**Key Responsibilities:**

- Design and develop robust data models using tools such as Erwin Data Modeler or IBM Data Architect, aligning with business requirements and industry best practices.

- Conduct thorough data analysis using tools like SQL, Python, or R to identify patterns, trends, and insights, ensuring high data quality and integrity.

- Hands-on experience with Apache Spark, leveraging its capabilities for efficient data processing and analytics tasks. Proficiency in related tools like Databricks is a plus.

- Collaborate with cross-functional teams to understand data requirements and contribute to the development of scalable and efficient data solutions.

**Key Requirements:**

- Minimum of 5 years of proven experience as a Data Modeler, with a strong emphasis on hands-on data analysis.

- Proficient in Apache Spark for large-scale data processing, with a track record of implementing solutions for complex data scenarios.

- Solid understanding of the BFS (Banking, Financial Services) domain, with a focus on data modeling tailored to industry-specific needs.

- Expertise in creating conceptual, logical, and physical data models, ensuring alignment with business objectives and regulatory requirements.

- Familiarity with cloud platforms such as AWS (Amazon Redshift, Glue), Azure (Azure Databricks, SQL Data Warehouse), or Google Cloud (BigQuery) is highly desirable.

- Ability to optimize and fine-tune data models for performance and scalability using tools like Apache Hive or Apache HBase.

- Strong communication skills to articulate complex technical concepts to both technical and non-technical stakeholders.

- Proactive problem-solving attitude and the ability to work in a dynamic, fast-paced environment.

**Preferred Qualifications:**

- Previous experience in migrating and modernizing data platforms within the BFS domain.

- Certification in relevant technologies such as Apache Spark or cloud platforms is a plus.

- Knowledge of emerging trends in data management and analytics within the financial services industry.

- Familiarity with big data technologies like Hadoop, Kafka, or Flink.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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