Sr Data Engineer

Responsibilities:

• Develop and maintain database architectures, data schemas, and data integration processes.
• Conduct performance tuning, troubleshooting, and data quality checks to guarantee the accuracy, reliability, and availability of data.
• Collaborate with software engineers to integrate data-driven capabilities into applications.
• Stay up-to-date with emerging trends and technologies in the data engineering field and identify opportunities for process improvement.

Qualifications:

• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data processing frameworks like Hadoop, Spark, or Kafka.
• Knowledge of relational and NoSQL databases.
• Familiarity with cloud technologies such as AWS, Azure, or Google Cloud.
• Understanding of data modeling and data warehousing concepts.
• Strong communication and collaboration abilities.

Key Skills:

• Critical thinking skills.
• Machine learning.
• Scripting.
• Coding.
• ETL.