About the Role:

We are looking for a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and architectures. The ideal candidate will support data-driven initiatives by ensuring data quality, availability, and reliability across systems.

Key Responsibilities:

• Design, develop, and maintain data pipelines (ETL/ELT processes)

• Build and optimize data architectures and data models for analytics and reporting

• Collect, process, and transform large datasets from multiple sources

• Ensure data quality, integrity, and governance standards

• Collaborate with data scientists, analysts, and business teams to deliver actionable insights

• Monitor and improve pipeline performance and troubleshoot data issues

• Implement and manage data storage solutions (data lakes, data warehouses)

• Work with cloud platforms (Azure, AWS, or GCP) for data engineering solutions

Required Skills:

• Strong proficiency in SQL and Python (or equivalent programming language)

• Experience with ETL tools and data pipeline frameworks

• Knowledge of big data technologies (e.g., Spark, Hadoop, Kafka)

• Experience with cloud data platforms (Azure Data Factory, AWS, GCP, etc.)

• Understanding of data modeling, warehousing, and database design

• Familiarity with APIs and data integration techniques

• Strong analytical and problem-solving skills

Preferred Qualifications:

• Experience with real-time data processing

• Knowledge of DevOps/DataOps practices

• Certification in cloud platforms (Azure, AWS, GCP) is a plus