Sr Data Engineer

Responsibilities:

• Design and develop scalable and efficient data pipelines, ensuring smooth data extraction, transformation, and loading processes.
• Collaborate with data scientists and analysts to understand data requirements and translate them into technical solutions.
• Implement and optimize storage solutions for large-scale structured and unstructured data.
• 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:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong expertise in SQL and database programming.
• 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.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Key Skills:

• Knowledge of data warehousing and ETL processes.
• Programming languages Java, Python, R, Scala.
• Big data, cloud computing and leadership skills.

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