Data Modeler/Analyst.

Hi,

Hope you are doing well?

I am looking for a candidate with experience as Data Modeler/Analyst.

Role: Data Modeler/Analyst

Location: Quincy, MA (Hybrid Onsite)

Duration: long term

Must be on Our W2

Key Skills:

Spark/Scala, Bigdata, Python, SQL, Cloud

• Must have 5+ Years of data analyst experience.
• Candidate should be able to write SQL/NonSQL queries.
• Knowledge of Spark/Scala/parquet file structure is expected.
• Experience with Financial compliance domain is a BIG PLUS.
• Data Modeling Experience
• Strong communication and analytical skills are important to be successful in this role.

Job Description: Data Modeler with Data Analysis and Spark Expertise**

**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.

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