
Data Engineer Position
1 day ago
Job Title: Data Engineering Specialist
About the Role:
We are seeking a highly skilled data engineering specialist with strong expertise in big data pipelines, distributed data systems, and cloud-based solutions. The ideal candidate will have a proven track record in building, scaling, and optimizing complex data architectures, and hands-on experience in leading-edge technologies such as Scala, Spark, Python, Apache Kafka, and NiFi.
Key Responsibilities:
- Design, develop, and optimize large-scale data pipelines and distributed data processing systems using scalable architecture.
- Work extensively with Scala, Spark (PySpark), and Python for data processing, transformation, and analytics.
- Develop 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 and implement 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.
Desirable 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).
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