
Distributed Data Engineer
1 week ago
Job Title: Data Architect
About the RoleWe are seeking a skilled data architect to join our team. The ideal candidate will have expertise in building, scaling, and optimizing big data pipelines using Scala, Spark, Python, NiFi, and Apache Kafka.
The successful candidate will design, develop, and optimize large-scale data pipelines and distributed data processing systems. They will work extensively with Scala, Spark (PySpark), and Python for data processing and transformation.
Key Responsibilities:
- Create scalable cloud-based data architectures that meet business requirements.
- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
- Design efficient data models and write effective queries using Jupyter Notebooks and SQL.
- Collaborate with cross-functional teams to ensure delivery of high-quality code through code reviews, performance tuning, and best practices.
- Build monitoring and alerting systems leveraging Splunk or equivalent tools.
- Contribute to product development with a focus on scalability, maintainability, and performance.
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.
Preferred Skills:
- Exposure to messaging technologies like Apache Kafka or equivalent.
- Experience in designing intuitive, responsive UIs for data analytics visualization.
- Familiarity with Splunk or other monitoring/alerting solutions.
- Hands-on experience with CI/CD tools (Git, Jenkins).
- Strong grasp of software engineering concepts, data modeling, and optimization techniques.
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