Senior PySpark Data Engineer

Covetus; Irving (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

Covetus, located in Irving, Texas, is seeking a Data Engineer who will be responsible for designing, developing, and maintaining data solutions in a Big Data environment using predominantly PySpark/Python. The role involves creating data pipelines, ensuring data quality, and implementing ETL processes across systems.

The ideal candidate should have over 8 years of experience in Hadoop and PySpark, with substantial exposure to AWS and Snowflake. Strong collaboration skills and problem-solving abilities are essential for success in this role.

Qualifications

• 8+ years of professional experience in Hadoop, PySpark/Python development.
• Proven expertise in PySpark and experience in handling huge volumes of data.
• 3+ years of working experience in AWS, Databricks/Snowflake, Airflow.

Responsibilities

• Design, develop, and maintain robust, scalable high-performance Data Pipelines using PySpark.
• Create data pipelines, ensuring data quality, and implement ETL processes to migrate and deploy data across systems.
• Migrate Ab Initio ETL Applications into PySpark based data pipelines.

Skills

Hadoop

PySpark/Python

AWS

Databricks/Snowflake

CI/CD

Git

Debugging

Communication

Job description

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing in Big Data environment using predominantly PySpark/Python. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using PySpark.

Responsibilities

• Design, develop, and maintain robust, scalable high-performance Data Pipelines using PySpark.
• Create data pipelines, ensuring data quality, and implement ETL processes to migrate and deploy data across systems.
• Migrate Ab Initio ETL Applications into Pyspark based data pipelines.
• Migrate On Prem workloads into Cloud (AWS, Databricks, Snowflake) based on use cases.
• Collaborate with cross-functional teams to identify and resolve data-related issues.
• Stay updated with the latest advancements in data engineering and integrate innovative approaches for sustained competitive advantage.

Qualifications

• 8+ years of professional experience in Hadoop, PySpark/Python development.
• Proven expertise in PySpark and experience in handling huge volume of data.
• 3+ years of working experience in AWS, Databricks/Snowflake, Airflow.
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Strong debugging and problem-solving skills.
• Excellent communication and collaboration skills.

Good to Have Skills

• AWS EKS Experience, Dockers and Containers.