Data Modeler / Data Analyst (Hybrid onsite W2 contract)
- Full Time, onsite
- Xoriant Corporation
- On Site Hybrid2-3 days a week hybrid onsite, United States of America
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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.