
Scala Big Data Lead Engineer
3 weeks ago
Key Responsibilities:
- Design, develop, and optimize data pipelines and ETL workflows.
- Work with Apache Hadoop, Airflow, Kubernetes, and Containers to streamline data processing.
- Implement data analytics and mining techniques to drive business insights.
- Manage cloud-based big data solutions on GCP and Azure.
- Troubleshoot Hadoop log files and work with multiple data processing engines for scalable data solutions.
Required Skills & Qualifications:
- Proficiency in Scala, Spark, PySpark, Python, and SQL.
- Strong hands-on experience with Hadoop ecosystem, Hive, Pig, and MapReduce.
- Experience in ETL, Data Warehouse Design, and Data Cleansing.
- Familiarity with data pipeline orchestration tools like Apache Airflow.
- Knowledge of Kubernetes, Containers, and cloud platforms such as GCP and Azure.
If you are a seasoned big data engineer with a passion for Scala and cloud technologies, we invite you to apply for this exciting opportunity
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