Role -Databricks Data Engineer Senior Analyst

About the Role

We are seeking experienced Databricks Data Engineers to join our Data & AI. You will play a pivotal role in designing, developing, and maintaining scalable data pipelines and transformation workflows on Azure Databricks, enabling advanced analytics and data engineering initiatives.

Key Responsibilities

• Design, develop, and optimize scalable data ingestion pipelines using Azure Data Factory, Databricks, and Apache Spark.

• Build and maintain Databricks notebooks using PySpark for data preparation, transformation, and enrichment to support Data Science use cases.

• Collaborate closely with Data Scientists to understand data requirements and ensure timely delivery of clean, structured datasets.

• Implement data quality checks, validation rules, and monitoring mechanisms.

• Integrate data from various sources including structured, semi-structured, and unstructured formats.

• Ensure data security, governance, and compliance with banking regulations.

• Optimize Spark jobs for performance and cost-efficiency in Azure.

• Participate in code reviews, design discussions, and agile ceremonies.

• Document data pipelines, workflows, and technical decisions.

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Required Skills & Qualifications

Technical Skills

• Experience in data engineering, with at least 2+ years hands-on experience in Azure Databricks.

• Strong proficiency in Apache Spark, especially PySpark for distributed data processing.

• Experience with Azure Data Factory, Azure Synapse, Azure Blob Storage, and Delta Lake.

• Solid understanding of ETL/ELT processes, data modeling, and data warehousing concepts.

• Proficiency in Python and/or Scala for data processing.

• Experience with CI/CD pipelines using tools like Azure DevOps, Git, and Terraform (preferred).

• Familiarity with SQL, NoSQL, and data lake architectures.

• Knowledge of data governance, security, and compliance in financial services.

Soft Skills

• Strong analytical and problem-solving skills.

• Excellent communication and stakeholder management abilities.

• Ability to work collaboratively in cross-functional teams.

• Agile mindset and experience working in Scrum/Agile environments.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.

• Databricks Certified Data Engineer Associate/Professional certification is a plus.

• Experience working in banking or financial services domain is highly desirable.

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