Data Visualization - Associate

You are a strategic thinker passionate about driving solutions in data visualization. You have found the right team.

As a Data Visualization Associate within our Databricks team, you will be responsible for designing, developing, and optimizing data models to support data integration, transformation, and analytics. We value your expertise in handling data from various sources and your commitment to ensuring scalable, efficient, and high-quality data solutions.

Job Responsibilities

• Design and implement data models (conceptual, logical, and physical) to support business requirements. Hands on Erwin tool experience is added advantage.
• Work with structured and unstructured data from multiple sources and integrate them into Databricks .
• Develop ETL/ELT pipelines to extract, transform, and load data efficiently.
• Optimize data storage, processing, and performance in Databricks.
• Collaborate with data engineers, analysts, and business stakeholders to understand data needs.
• Ensure data governance, quality, and compliance with industry standards.
• Create and maintain documentation for data models, pipelines, and architectures.
• Troubleshoot and optimize queries and workflows for performance improvement.
• Create/modify queries at consumption level for end users.

Required qualifications, capabilities, and skills

• 5+ years of experience in data modeling/data engineering.
• Strong expertise in Databricks, Delta Lake, Apache Spark, advanced queries
• Experience with SQL, Python for data manipulation.
• Knowledge of ETL/ELT processes and data pipeline development.
• Hands-on experience with data warehousing, relational databases, and NoSQL .
• Familiarity with data governance, security, and compliance best practices .
• Strong problem-solving skills and the ability to work in an agile environment .

Preferred qualifications, capabilities and skills

• Experience working with large-scale data systems and streaming data .
• Knowledge of business intelligence (BI) tools and reporting frameworks .
• Experience in finance domain (P&A, Markets etc) will be preferable.
• Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
• Experience with OLAP tools (TM1, Essbase, Atoti etc) is a plus.

Role: Data Science & Machine Learning - Other

Industry Type: Financial Services

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate