Senior Data Engineer

• Bachelor's or Honors degree in Computer Science, Software Engineering, Information Systems, or a related field.
• 4 to 5+ years of experience in data engineering, database administration, or a related field.
• Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle.
• Experience with data warehousing and ETL tools such as Apache Airflow, Talend, or Informatica.
• Knowledge of data modeling, data architecture, and database design principles.
• Strong programming skills in languages such as Python, Java, or Scala.
• Understanding of distributed systems, cloud infrastructure, and big data technologies such as Hadoop, Spark, or Kafka.
• Knowledge of data governance, data privacy, and regulatory compliance is a plus.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• Design and develop data architectures that support the organization's data needs.
• Design and optimize data models to ensure efficient datastorage, retrieval, and analysis.
• Develop and maintain data dictionaries, data lineage, and metadata.

• Develop and maintain ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.
• Monitor and troubleshoot ETL processes to ensure timely and accurate data processing.
• Optimize ETL processes for performance, scalability, and maintainability.

• Design, implement, and maintain databases to support the
• organization's data needs.
• Ensure the security, availability, and reliability of databases
• through monitoring, backup, and recovery procedures.
• Tune database performance to improve query speed and reduce downtime.
• Develop and maintain database documentation and data
• dictionaries.

Job Mail