Lead PySpark Developer (7234-1)

Location: Owings Mills, MD | Type: Contract | Work Mode: On site Salary: Max pay rate is $68/hr Experience: Mid-senior Start Date: To be decided Full Job Overview Job Description: 7+ years of experience in Amazon Web Service(AWS) Cloud Computing.10+ years of experience in big data and distributed computing.Very Strong hands-on experience with PySpark, Apache Spark, and Python.Strong Hands on experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc.).Proficiency in data modeling and ETL workflows.Proficiency with workflow schedulers like Airflow.Hands on experience with AWS cloud-based data platforms.Experience in DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.Strong problem-solving skills and ability to lead a teamDBT, AWS AstronomerLead the design, development, and deployment of PySpark-based big data solutions.Architect and optimize ETL pipelines for structured and unstructured data.Collaborate with Client, data engineers, data scientists, and business teams to understand requirements and provide scalable solutions.Optimize Spark performance through partitioning, caching, and tuning.Implement best practices in data engineering (CI/CD, version control, unit testing).Work with cloud platforms like AWS.Ensure data security, governance, and compliance.Mentor junior developers and review code for best practices and efficiency. Apply for this job Lead PySpark Developer (7234-1) Location: Owings Mills, MD | Type: Contract | Work Mode: On site Salary: Max pay rate is $68/hr Experience: Mid-senior Start Date: To be decided Job Description 7+ years of experience in Amazon Web Service(AWS) Cloud Computing.10+ years of experience in big data and distributed computing.Very Strong hands-on experience with PySpark, Apache Spark, and Python.Strong Hands on experience with SQL and NoSQL databases (DB2, PostgreSQL, Snowflake, etc.).Proficiency in data modeling and ETL workflows.Proficiency with workflow schedulers like Airflow.Hands on experience with AWS cloud-based data platforms.Experience in DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.Strong problem-solving skills and ability to lead a teamDBT, AWS AstronomerLead the design, development, and deployment of PySpark-based big data solutions.Architect and optimize ETL pipelines for structured and unstructured data.Collaborate with Client, data engineers, data scientists, and business teams to understand requirements and provide scalable solutions.Optimize Spark performance through partitioning, caching, and tuning.Implement best practices in data engineering (CI/CD, version control, unit testing).Work with cloud platforms like AWS.Ensure data security, governance, and compliance.Mentor junior developers and review code for best practices and efficiency. Apply for this job