Data Modeler (Hybrid Onsite) - W2 Contract Only

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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:
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• 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:
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• 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:
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• 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.