Data Engineer

1. Design develop and deploy data pipelines to collect process and analyze large volumes of data from various sources.
2. Collaborate with data scientists and business analysts to understand data requirements and translate them into technical solutions.
3. Implement data quality and governance processes to ensure the accuracy consistency and reliability of our data.
4. Optimize and finetune data processing workflows for performance and efficiency.
5. Build and maintain scalable and robust data infrastructure using modern technologies and best practices.
6. Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
7. Stay updated with the latest trends and technologies in data engineering and analytics.
8. Work closely with crossfunctional teams to support datadriven decisionmaking and business initiatives.

1. Bachelor s or Master s degree in Computer Science Engineering or related field.
2. 5 12 years of experience in data engineering ETL development or related roles.
3. Strong programming skills in languages such as Python Java Scala or SQL.
4. Experience with big data technologies such as Hadoop Spark Kafka and Hive.
5. Proficiency in designing and optimizing SQL queries and database schemas.
6. Handson experience with cloud platforms such as AWS Azure or Google Cloud Platform.
7. Familiarity with data warehousing concepts and technologies (e.g. Redshift Snowflake).
8. Excellent problemsolving skills and attention to detail.
9. Effective communication skills and the ability to collaborate with crossfunctional teams.
10. Prior experience in Agile development methodologies is a plus.

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