Jobot
Senior Data Engineer
Jobot, Calabasas, California, United States, 91302
Senior Data Engineer with profitable Financial Services firm
This Jobot Job is hosted by: Oliver BelkinAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $165,000 - $225,000 per year
A bit about us:
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team in the technology industry. The ideal candidate will have a strong background in AWS, SQL, Airflow, Python, PySpark, and Redshift, or equivalent technologies. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining our data infrastructure to support our growing business needs. This is a full-time position that requires a minimum of 5 years of experience in the field.
***This role is onsite in Los Angeles. Only local applicants or those that are willing to relocate. Relocation assistance will be provided***
Why join us?
We offer top compensation and benefits as we are a leader within our industry. You'll have the ability to work with a group of other like-minded individuals to build great software.
Job Details
Responsibilities:Design, build, and maintain our data infrastructure using AWS, SQL, Airflow, Python, PySpark, and Redshift.Develop and implement data pipelines to extract, transform, and load data from various sources.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Optimize data storage and retrieval for performance and scalability.Monitor and troubleshoot data pipelines to ensure data accuracy and availability.Develop and maintain documentation of data infrastructure and processes.Stay up-to-date with the latest technologies and trends in data engineering.Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.Minimum of 5 years of experience in data engineering or related field.Strong proficiency in AWS, SQL, Airflow, Python, PySpark, and Redshift, or equivalent technologies.Experience with data modeling, data warehousing, and ETL processes.Strong problem-solving skills and attention to detail.Excellent communication and collaboration skills.Ability to work independently and as part of a team.Experience with Agile development methodologies is a plus.
If you are passionate about data engineering and have a proven track record of designing and implementing scalable data infrastructure, we encourage you to apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and a dynamic work environment where you can grow and thrive.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
This Jobot Job is hosted by: Oliver BelkinAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $165,000 - $225,000 per year
A bit about us:
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team in the technology industry. The ideal candidate will have a strong background in AWS, SQL, Airflow, Python, PySpark, and Redshift, or equivalent technologies. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining our data infrastructure to support our growing business needs. This is a full-time position that requires a minimum of 5 years of experience in the field.
***This role is onsite in Los Angeles. Only local applicants or those that are willing to relocate. Relocation assistance will be provided***
Why join us?
We offer top compensation and benefits as we are a leader within our industry. You'll have the ability to work with a group of other like-minded individuals to build great software.
Job Details
Responsibilities:Design, build, and maintain our data infrastructure using AWS, SQL, Airflow, Python, PySpark, and Redshift.Develop and implement data pipelines to extract, transform, and load data from various sources.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Optimize data storage and retrieval for performance and scalability.Monitor and troubleshoot data pipelines to ensure data accuracy and availability.Develop and maintain documentation of data infrastructure and processes.Stay up-to-date with the latest technologies and trends in data engineering.Qualifications:
Bachelor's or Master's degree in Computer Science, Information Technology, or related field.Minimum of 5 years of experience in data engineering or related field.Strong proficiency in AWS, SQL, Airflow, Python, PySpark, and Redshift, or equivalent technologies.Experience with data modeling, data warehousing, and ETL processes.Strong problem-solving skills and attention to detail.Excellent communication and collaboration skills.Ability to work independently and as part of a team.Experience with Agile development methodologies is a plus.
If you are passionate about data engineering and have a proven track record of designing and implementing scalable data infrastructure, we encourage you to apply for this exciting opportunity. We offer a competitive salary, comprehensive benefits package, and a dynamic work environment where you can grow and thrive.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.