Analyst, Data Engineering

As an Analyst, Data Engineering, you will support the design, development, and optimization of enterprise data platforms and solutions. The role will contribute to data ingestion, transformation, integration, governance, and architectural initiatives that enable trusted, scalable, and accessible data across the organization. This position is ideal for candidates with a strong analytical mindset who are passionate about data engineering, modern cloud platforms, and data architecture principles.

You will:

• Assist in defining and implementing data models, data integration patterns, and data architecture standards that promote scalability, performance, and reusability.
• Collaborate with business stakeholders, analysts, and engineers to understand data requirements and translate them into technical solutions.
• Support the development and management of enterprise data platforms, including data lakes, data warehouses, and cloud-based analytics environments.
• Monitor data quality, lineage, and governance processes to ensure data accuracy, consistency, security, and compliance.
• Contribute to the documentation of data assets, architecture diagrams, and technical design specifications; participate in troubleshooting and resolving data pipeline, integration, and platform-related issues.

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field.
• Working knowledge of SQL, relational databases, and data modeling concepts.
• Proficiency in Python, Spark, or similar technologies used for data processing and automation.
• Understanding of ETL/ELT processes, data warehousing concepts, and modern data architecture principles.
• Strong problem-solving, analytical, and communication skills with the ability to work collaboratively in a cross-functional environment.

Desirable Requirements:

• Familiarity with data governance, metadata management, data lineage, and enterprise architecture concepts through academic, internship, or project experience.

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