Junior Data Analyst

3-5 years' experience

Must have experience with Databricks, PowerBI and SQL.

Need to build your own PowerBI Reports.

Key Responsibilities

• Design and implement enterprise data quality frameworks and controls.

• Develop automated validation, monitoring, and exception reporting solutions.

• Measure and improve data quality across Accuracy, Completeness, Consistency, Validity, Integrity, Uniqueness, and Timeliness.

• Partner with Data Governance teams to operationalize data quality standards.

• Investigate and resolve complex data quality issues through root cause analysis.

Data Engineering

• Build and optimize ETL/ELT pipelines using Databricks, Python, SQL.

• Embed data quality validations into ingestion and transformation processes.

• Develop reusable validation components and automated testing frameworks.

• Support cloud data platforms and modernization initiatives.

DevOps & Collaboration

• Build and maintain CI/CD pipelines and Git-based deployment processes.

• Collaborate with engineers, architects, analysts, and business stakeholders.

• Translate business requirements into scalable technical solutions.

• Present findings and recommendations to technical and business audiences.

Required Qualifications

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

• 5+ years of experience in Data Engineering, Data Quality Engineering, or related roles.

• Strong expertise in:

o SQL

o Python

o Databricks & Spark

o Oracle and modern cloud data platforms

o Git and CI/CD pipelines

• Strong analytical, troubleshooting, and root cause analysis skills.

• Excellent communication and stakeholder management abilities.