Data Engineer

o be successful in this role, you should have below skills:

• Build and Maintain Data Architectures: Develop and maintain data pipelines that enable the transfer and processing of durable, complete, and consistent data 1.

• Design and Implement Data Warehouses and Data Lakes: Manage appropriate data volumes and velocity while adhering to required security measures 1.

• Develop Processing and Analysis Algorithms: Create algorithms fit for the intended data complexity and volumes 1.

• Collaborate with Data Scientists: Work closely with data scientists to build and deploy machine learning models 1.

Some other highly valued skills may include below:

• Building and maintaining scalable, reliable data pipelines

• Ensuring data durability, completeness, and consistency

• Designing and managing data storage solutions

• Handling large volumes and high-velocity data securely

• Creating efficient data processing and analysis algorithms

• Optimizing for complexity and performance

• Supporting data scientists in building and deploying ML models

• Providing clean, structured data for model training and inference

• Strong programming skills (e.g., Python, SQL, Scala)

• Familiarity with tools like Apache Spark, Kafka, Airflow, and cloud platforms (AWS, Azure, GCP)

  • Ensuring data privacy, access control, and compliance with standards