Data Engineer

JD
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Role : Pyspark Data Engineer / Pyspark Developer
Experience : 4 to 10 years
Location : Bangalore
Mode : Work from Office
Responsibilities:
• Data Processing: Design, develop, and maintain data processing solutions using PySpark, Apache Spark, and Python.
• Data Pipeline Development: Develop and optimize data pipelines using PySpark, Apache Spark, and cloud-based data platforms.
• Data Integration: Integrate data from various sources, including relational databases, NoSQL databases, and cloud storage.
• Data Transformation: Develop and implement data transformation logic using PySpark, Apache Spark, and Python.
• Collaboration: Work with cross-functional teams to identify and prioritize project requirements, provide technical guidance, and ensure data quality.
Required Skills: • PySpark: In-depth knowledge of PySpark, Apache Spark, and Python.
• Data Processing: Strong understanding of data processing concepts, including data ingestion, data transformation, and data storage.
• Cloud Experience: Experience with cloud-based data platforms, including AWS, Azure, or Google Cloud.
• Expertise in DataFrames & Spark SQL, Spark Streaming with Apache Kafka real-time data ingestion pipelines
• Very good conceptual understanding of Multithreading, distributed computing concepts of Pyspark • Programming: Proficiency in programming languages, including Python, Java, or Scala.
• Communication: Excellent communication and collaboration skills.

Work arrangement
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