Senior Data Engineer

We are seeking a Senior Data Engineer to design, implement, and optimize data pipelines utilizing Scala, Spark, and Java. The ideal candidate will develop and maintain real-time data processing systems essential for business operations. Collaboration with data scientists and analysts is crucial to understand data requirements and deliver high-quality solutions. Responsibilities include ensuring data quality through robust testing, monitoring workflows, and troubleshooting pipelines. Candidates should possess a degree in Computer Science or Engineering, with proven experience in data engineering, real-time processing, and SQL proficiency. Familiarity with cloud platforms and data governance is preferred. We offer a competitive salary, benefits, and opportunities for professional growth in a collaborative environment.

Key Responsibilities:

- Design, implement, and optimize data pipelines using Scala, Spark, and Java.
- Develop and maintain real-time data processing systems to support business-critical operations.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions.
- Ensure data quality and reliability through robust testing and validation procedures.
- Monitor and troubleshoot data pipelines and workflows to ensure high availability and performance.
- Stay current with emerging technologies and industry best practices to continuously improve our data infrastructure.

Qualifications:

-Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven experience with Scala, Spark, and Java in a data engineering or similar role.
- Strong understanding of real-time data processing and streaming technologies.
- Experience with big data platforms and tools such as Hadoop, Kafka, and Flink is a plus.
- Proficiency in SQL and experience with relational databases.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills to work effectively with cross-functional teams.

Preferred Skills:

- Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
- Knowledge of data warehousing solutions and ETL processes.
- Familiarity with data governance and security best practices.