
Advanced Data Engineering Professional
7 days ago
We are seeking a highly skilled data engineer to join our team and contribute to the design, development, and optimization of large-scale data pipelines.
The ideal candidate will have a proven track record in building, scaling, and optimizing big data pipelines, with strong expertise in Scala, Spark, Python, NiFi, and Apache Kafka.
- Design, develop, and optimize large-scale data pipelines and distributed data processing systems.
- Work extensively with Scala, Spark (PySpark), and Python for data processing and transformation.
- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
Required 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.
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.
Key Responsibilities:
- Evaluate and improve the efficiency of existing data pipelines.
- Collaborate with cross-functional teams to design scalable cloud-based data architectures.
- Participate in CI/CD workflows using Git, Jenkins, and other DevOps tools.
- Contribute to product development with a focus on scalability, maintainability, and performance.
Location: Bangalore, Chennai, Gurgaon, Pune, Mumbai. Experience: 7–10 Years. Notice Period: Immediate to 30 Days. Mode of Work: Hybrid.
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