Unlock Scalable Data Solutions
2 weeks ago
Job Title: Data Engineering Professional
Key Responsibilities:
- Develop, implement, and optimize large-scale data processing systems.
- Work extensively with programming languages such as Scala, Spark (PySpark), and Python for data processing and transformation.
- Design and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
- Write efficient queries and perform data analysis using Jupyter Notebooks and SQL.
- Collaborate with cross-functional teams to design scalable cloud-based data architectures.
- Ensure delivery of high-quality code through code reviews, performance tuning, and best practices.
- Build monitoring and alerting systems leveraging Splunk or equivalent tools.
- Participate in CI/CD workflows using Git, Jenkins, and other DevOps tools.
Mandatory Skills:
- Scala - Minimum 3+ years of hands-on experience.
- Strong expertise in Spark (PySpark) and Python.
- Hands-on experience with Apache Kafka.
- Knowledge of NiFi / Airflow for orchestration.
- Strong experience in Distributed Data Systems (5+ years).
- Proficiency in SQL and query optimization.
- Good understanding of Cloud Architecture.
Benefits:
The successful candidate will have the opportunity to work on complex data processing projects, collaborate with a team of experienced engineers, and contribute to the development of scalable cloud-based data architectures.
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