Data Engineer with PySpark
Job Title:
Data Engineer with PySpark -W2 only
Location:
Rocky Hill, CT (Onsite Role)
We are open for Visa Sponsorship
As a Data Engineer, you will play a key role in designing and implementing robust data pipelines and infrastructure to support our data-driven initiatives.
Key
Responsibilities:
Design, develop, and maintain scalable data pipelines using PySpark.
Collaborate with data scientists and analysts to understand data requirements and implement solutions.
Build automation pipelines for Continuous Integration/Continuous Deployment (CI/CD) using Azure DevOps or similar tools.
Optimize data workflows for performance, reliability, and efficiency.
Implement data quality checks and monitoring processes to ensure data integrity.
Troubleshoot and resolve issues related to data pipeline performance and reliability.
Document technical designs, processes, and procedures.
Requirements:
Bachelor's degree in Computer Science, Engineering, or related field.
Proven experience working as a Data Engineer in a professional setting.
Hands-on experience with PySpark for data processing and analysis.
Strong proficiency in SQL and relational databases (e.g., PostgreSQL, MySQL).
Experience building automation pipelines for CI/CD using Azure DevOps or similar tools (e.g., Jenkins, GitLab CI).
Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Nice to Have:
Experience with containerization technologies (e.g., Docker, Kubernetes).
Knowledge of big data technologies (e.g., Hadoop, Spark).
Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift).
Understanding of machine learning concepts and algorithms.
Why Join Us:
Opportunity to work on cutting-edge data technologies and projects.
Collaborative and supportive team environment.
Competitive salary and benefits package.
Career growth and development opportunities.
If you are passionate about leveraging data to drive business impact and thrive in a fast-paced environment, we would love to hear from you! Apply now to join our team as a Data Engineer and contribute to our mission of transforming data into insights.
Infowave Systems is an equal opportunity employer that is committed to diversity and inclusion in the workplace.Estimated Salary: $20 to $28 per hour based on qualifications.
Data Engineer with PySpark -W2 only
Location:
Rocky Hill, CT (Onsite Role)
We are open for Visa Sponsorship
As a Data Engineer, you will play a key role in designing and implementing robust data pipelines and infrastructure to support our data-driven initiatives.
Key
Responsibilities:
Design, develop, and maintain scalable data pipelines using PySpark.
Collaborate with data scientists and analysts to understand data requirements and implement solutions.
Build automation pipelines for Continuous Integration/Continuous Deployment (CI/CD) using Azure DevOps or similar tools.
Optimize data workflows for performance, reliability, and efficiency.
Implement data quality checks and monitoring processes to ensure data integrity.
Troubleshoot and resolve issues related to data pipeline performance and reliability.
Document technical designs, processes, and procedures.
Requirements:
Bachelor's degree in Computer Science, Engineering, or related field.
Proven experience working as a Data Engineer in a professional setting.
Hands-on experience with PySpark for data processing and analysis.
Strong proficiency in SQL and relational databases (e.g., PostgreSQL, MySQL).
Experience building automation pipelines for CI/CD using Azure DevOps or similar tools (e.g., Jenkins, GitLab CI).
Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Nice to Have:
Experience with containerization technologies (e.g., Docker, Kubernetes).
Knowledge of big data technologies (e.g., Hadoop, Spark).
Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift).
Understanding of machine learning concepts and algorithms.
Why Join Us:
Opportunity to work on cutting-edge data technologies and projects.
Collaborative and supportive team environment.
Competitive salary and benefits package.
Career growth and development opportunities.
If you are passionate about leveraging data to drive business impact and thrive in a fast-paced environment, we would love to hear from you! Apply now to join our team as a Data Engineer and contribute to our mission of transforming data into insights.
Infowave Systems is an equal opportunity employer that is committed to diversity and inclusion in the workplace.Estimated Salary: $20 to $28 per hour based on qualifications.
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