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4 days ago
We are seeking a skilled Big Data Engineer to join our data engineering team.
The ideal candidate will have hands-on experience with Scala, Spark, Python, NiFi, and Apache Kafka. They must be able to design, develop, and optimize large-scale data pipelines and distributed data processing systems.
Key responsibilities include:
- Developing and integrating streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
- Working extensively with Scala, Spark (PySpark), and Python for data processing and transformation.
- Designing scalable cloud-based data architectures.
Mandatory skills include:
- 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.
Preferred skills include:
- Exposure to messaging technologies like Apache Kafka or equivalent.
- Experience in designing intuitive, responsive UIs for data analytics visualization.
Our ideal candidate is someone who can collaborate with cross-functional teams and ensure delivery of high-quality code through code reviews, performance tuning, and best practices.
This role offers the opportunity to contribute to product development with a focus on scalability, maintainability, and performance.
As a member of our data engineering team, you will work on complex projects that drive business growth and innovation.
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