Data Engineer

Data Engineer

Key Responsibilities

Data Engineering

• Design, develop, and maintain scalable data pipelines using modern cloud technologies.
• Build and optimize ELT/ETL workflows using

  DBT

  ,

  Snowflake

  , and

  Azure Data Platform

  .
• Implement data quality, governance, and monitoring processes.
• Develop and maintain data models for reporting and analytics solutions.
• Collaborate with cross-functional teams to integrate data from multiple enterprise systems.

Data Analytics & Statistical Analysis

• Execute statistical analyses and predictive analytics requests to support business decision-making.
• Perform data exploration, trend analysis, forecasting, and model validation.
• Develop dashboards, reports, and data visualizations to communicate actionable insights.
• Translate business requirements into analytical solutions.

Stakeholder Management

• Partner with business, IT, and leadership teams to understand data needs and priorities.
• Present findings, recommendations, and technical solutions to both technical and non-technical audiences.
• Drive discussions on data strategy, analytics opportunities, and process improvements.

Advanced Analytics

• Support and participate in Artificial Intelligence and Machine Learning initiatives.
• Collaborate with data scientists in model deployment, feature engineering, and productionization efforts.
• Evaluate emerging technologies and analytics capabilities.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Information Systems, Engineering, or related field.
• 5-6 years of experience in Data Engineering, Analytics, or related roles.
• Strong experience with:

• SQL

• Python

• Snowflake

• DBT

• Azure Data Platform (ADF, Azure Storage, Databricks, etc.)

• GitHub / Git Version Control

• Experience designing and optimizing large-scale data pipelines.
• Strong knowledge of data warehousing concepts and dimensional modeling.
• Experience performing statistical analysis and predictive analytics.
• Excellent communication, stakeholder management, and presentation skills.

Preferred Qualifications

• Experience with AI/ML frameworks and model deployment.
• Knowledge of MLOps practices.
• Experience with Power BI or similar visualization platforms.
• Experience working in Agile/Scrum environments.

Key Competencies

• Problem-solving and analytical thinking
• Data storytelling and executive communication
• Technical leadership
• Collaboration and teamwork
• Strategic mindset