
Senior Data Processing Specialist
1 day ago
Our organization requires a skilled professional to lead the design and implementation of data pipelines. This role involves collaborating with cross-functional teams to create scalable, high-quality solutions that meet business needs.
Responsibilities:
- Create and optimize data processing workflows using Spark and SQL.
- Analyze and process large datasets to inform business decisions.
- Develop real-time streaming applications for data ingestion and analytics.
- Collaborate with stakeholders to integrate AI/ML models into production environments.
- Evaluate and ensure data quality, scalability, and performance in all data pipelines.
- Deploy and manage Spark workloads on cloud platforms such as AWS, Azure, GCP, or Databricks.
- Automate testing and deployment of data pipelines via CI/CD pipelines.
Requirements:
- Bachelor's/Master's degree in Computer Science, Computer Engineering, or related field.
- Minimum 4 years of professional experience in data engineering.
- Strong expertise in Python, Spark, and PySpark.
- Familiarity with big data tools such as Kafka, Flume, and Kinesis.
- Proficiency in Airflow/Prefect for scheduling and orchestration.
- Hands-on experience with data formats such as Parquet, Avro, and ORC.
- Knowledge of performance tuning in Spark.
- Experience deploying on cloud-based platforms.
- Exposure to testing and CI/CD for data pipelines.
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