Data Engineer

Role Overview:

As a Data Engineer consultant at Keystone Solutions, you will play a key role in designing, building, and maintaining robust data pipelines and analytics infrastructure for our client. You will collaborate with cross-functional teams to ensure data quality, accessibility, and performance across the organization while working on-site at the client location.

Key Responsibilities:

• Design and implement scalable ETL/ELT pipelines using Azure Data Factory and Databricks.
• Develop and optimize data models for reporting and analytics in Power BI.
• Manage data lakes and warehouses (Azure Data Lake, Azure SQL, Snowflake).
• Ensure data governance, quality, and compliance with GDPR and internal standards.
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs.
• Automate workflows and support real-time data processing.
• Document data architecture and maintain technical documentation.

Required Skills & Experience:

• 3+ years of experience in data engineering or a related role.
• Strong proficiency in SQL, Python, and data pipeline tools (e.g., Airflow, dbt).
• Hands-on experience with Azure services: Data Factory, Databricks, Data Lake, Synapse.
• Familiarity with Power BI for data visualization and reporting.
• Experience with data modeling, API integration, and performance tuning.
• Knowledge of data security and compliance best practices.

Nice to Have:

• Experience with R, Spark, or machine learning workflows.
• Exposure to DevOps tools (Terraform, Docker, Kubernetes).
• Previous experience in the energy or infrastructure sector.

Soft Skills:

• Analytical mindset with attention to detail.
• Strong communication and collaboration skills.
• Proactive and adaptable in a fast-paced environment.

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today at Keystone Solutions Career Portal.