Data Engineer

Data Engineer responsible for designing, developing, and maintaining scalable data pipelines and data processing systems. Skilled in collecting, transforming, integrating, and managing large datasets from multiple sources. Experienced with SQL, Python, ETL/ELT processes, data warehouses, cloud platforms, and distributed data processing technologies. Focused on building reliable, secure, and high-performance data infrastructure that supports analytics, reporting, and business intelligence.

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.

• Strong knowledge of SQL, databases, and data structures.

• Experience developing and maintaining ETL/ELT pipelines.

• Proficiency in Python, Java, or Scala.

• Understanding of data warehousing and data modeling concepts.

• Experience with technologies such as Spark, Kafka, or Airflow is preferred.

• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.

• Ability to work with structured and unstructured data.

• Understanding of batch and real-time data processing.

• Experience with data quality, validation, monitoring, and troubleshooting.

• Familiarity with Git, Docker, and CI/CD practices.

• Strong analytical and problem-solving skills.

• Good communication and teamwork abilities.