Data Engineer

Job Summary

We are looking for a talented Data Engineer to join our team and help design, build, and maintain robust data pipelines and systems. In this role, you will play a critical part in enabling data‑driven decision‑making by ensuring that data is collected, processed, and made accessible efficiently and securely across the organization.

• Design, develop, and maintain scalable data pipelines and ETL (Extract, Transform, Load) processes.
• Build and optimize data architectures for data ingestion, transformation, and storage.
• Collaborate with data scientists, analysts, and software engineers to deliver clean and reliable datasets.
• Develop and maintain data models, data warehouses, and data lakes.
• Ensure data quality, integrity, and governance across all data pipelines.
• Monitor and improve the performance, scalability, and reliability of data systems.
• Implement best practices in data management, security, and compliance.
• Troubleshoot and resolve data‑related issues and support data infrastructure.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong programming skills in Python, Java, or Scala.
• Hands‑on experience with ETL tools and frameworks (e.g., Apache Airflow, Apache NiFi, Talend).
• Proficiency in SQL and working with relational databases (e.g., PostgreSQL, MySQL) and No
  
  SQL databases (e.g., MongoDB, Cassandra).
• Experience with big data technologies such as Hadoop, Spark, Kafka, or Hive.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud data services (Redshift, Big Query, Snowflake).
• Strong understanding of data modeling, warehousing concepts, and data governance.
• Excellent problem‑solving and communication skills.