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Senior Scalable Data Developer

3 weeks ago

Dombivli, Maharashtra, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Scalable Data Pipelines Developer Opportunity

At a leading organization, we seek an experienced Scalable Data Pipelines Developer to join our dynamic team. This is an exciting chance to work on designing and implementing efficient data pipelines using Spark SQL, DataFrame, and RDD APIs.

Key Responsibilities:
  • Design and develop batch and streaming data pipelines with PySpark to ensure seamless data flow and processing.
  • Utilize strong programming skills in Python (preferred) to implement data structures, algorithms, and software engineering principles for scalable data pipeline development.
  • Develop a deep understanding of the current data engineering landscape, including distributed data processing, storage systems, and workflow orchestration tools.
  • Collaborate with cloud services such as AWS S3, AWS Glue/EMR, AWS Lambda, Step Functions, or similar for orchestration/integration purposes.
Requirements:
  • Strong experience in PySpark and hands-on expertise in building scalable data pipelines.
  • Proficiency in using Spark SQL, DataFrame, and RDD APIs to implement complex business logic.
  • Cloud data platform experience, preferably with AWS.
  • Experience working with modern data engineering ecosystem, including Apache Airflow, dbt, Delta Lake, etc.
Skills and Tools:
  • Apache Airflow
  • dbt
  • Delta Lake
  • Redshift or other cloud data warehouses
  • Spark API Expertise for Business Logic Implementation

This role offers an opportunity to work on cutting-edge technologies and contribute to the growth of the organization.