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.

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