Senior Data Solutions Developer
4 days ago
Job Title: Senior Data Solutions Developer
">- Project Role: Design and develop robust data solutions for efficient data generation, collection, and processing.
We are seeking a highly skilled Senior Data Solutions Developer to join our team. The ideal candidate will have extensive experience in designing, developing, and maintaining data pipelines using PySpark.
">Responsibilities:
">- ">
- Develop and maintain ETL pipelines using PySpark for data ingestion, transformation, and aggregation.">
- Write optimized and reusable PySpark code to process large-scale datasets.">
- Work with structured and unstructured data sources (CSV, JSON, Parquet, Avro, relational DBs, etc.).">
- Optimize Spark jobs for scalability, reliability, and performance.">
- Collaborate with data engineers, analysts, and business stakeholders to deliver clean and reliable datasets.">
Requirements:
">- ">
- Minimum 5 years of experience in PySpark.">
- Strong understanding of data modeling and database design principles.">
- Experience with cloud storage and big data frameworks (HDFS, Hive, Delta Lake, S3, ADLS, BigQuery).">
- Knowledge of data warehousing concepts and technologies.">
Benefits:
">- ">
- Opportunity to work with cutting-edge technology.">
- Chance to collaborate with experienced professionals.">
- Competitive salary and benefits package.">
Additional Information:
">The ideal candidate should be able to work independently and collaboratively as part of a team. We offer a dynamic work environment and opportunities for professional growth and development.
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