Data Engineer

We are seeking an experienced Data Engineer with 5-6 years of experience in data engineering, analytics, and cloud-based data solutions. The ideal candidate will have strong expertise in designing data pipelines, performing statistical analysis, supporting advanced analytics initiatives, and communicating insights to business stakeholders

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