1.Design, develop, and implement data pipelines for efficient data collection, processing, storage, and transformation from various sources (customer data, network data, call records, etc.).

2.Utilize data engineering tools and technologies (e.g., Apache Spark, Hadoop) to build scalable and reliable data infrastructure.

3.Work with Data Scientists and BI Analysts to understand data requirements and design data pipelines that meet their specific needs.

4.Implement data quality checks and ensure data accuracy and consistency throughout the data lifecycle.

5.Automate data processing tasks and workflows to increase efficiency and reduce manual errors.

6.Monitor and optimize data pipelines to ensure high performance and scalability.

7.Collaborate with the IT team to ensure proper data security and access controls are in place.

8.Stay up-to-date on the latest advancements in data engineering technologies and best practices.

1.Bachelor's degree in Computer Science or Engineering in Information Technology or a related field (or equivalent experience).

2.Minimum 3+ years of experience in data engineering or a related field.

3.Strong programming skills in languages like Python, Java, or Scala.

4.Experience with big data platforms (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, GCP) a plus.

5.Familiarity with data warehousing concepts (e.g., data lakes, data warehouses) and data quality tools.

6.Excellent problem-solving and analytical skills.

7.Strong communication and collaboration skills to work effectively with Data Scientists, BI Analysts, and the IT team.

8.Understanding of the telecommunications industry a plus.