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About the job
Job Title: Data Engineer – PySpark
Location: Raleigh, NC/ Dallas, TX (Hybrid)
Experience: 8+ Years
Employment Type: W2 Only
Job Description
We are looking for an experienced Data Engineer with strong PySpark expertise to design, develop, and maintain scalable data processing solutions. The ideal candidate will have extensive experience in big data technologies, distributed computing, ETL/ELT development, and cloud-based data platforms.
The candidate should be comfortable working with large datasets, building efficient data pipelines, optimizing Spark workloads, and collaborating with cross-functional teams to deliver reliable data solutions.
Required Skills & Qualifications
8+ years of experience in Data Engineering or related roles.
Strong hands-on experience with Python and PySpark.
Extensive experience with Apache Spark, Spark SQL, and distributed data processing.
Strong proficiency in SQL, including complex queries, joins, aggregations, and query optimization.
Experience developing and maintaining large-scale ETL/ELT data pipelines.
Strong understanding of data warehousing concepts, data modeling, and data lake architectures.
Experience working with cloud data platforms such as AWS, Azure, or GCP.
Experience with technologies such as Databricks, Delta Lake, Hive, or similar big data frameworks.
Knowledge of workflow orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
Experience with Git, CI/CD pipelines, and Agile development methodologies.
Strong analytical, troubleshooting, and problem-solving skills.
About the company
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