Data Modeler And Analyst

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, 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

BTech