Dentsu
Senior Data Operations Engineer-Remote
Dentsu, Maryland Line, Maryland, us, 21105
Job Description:
We are seeking a highly skilled and experienced Senior Data Operations Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with a focus on the execution and troubleshooting of existing data products. This role will involve managing Data ETL processes, building and maintaining data assets, and providing support for data append systems.
Key Responsibilities:Execute and Manage Data ETL Processes:
Oversee the extraction, transformation, and loading of data from various data suppliers to ensure timely delivery, data integrity and availability.Data Asset Builds:
Execute monthly processes to create, QA and release our data productsSupport Data Append Systems:
Provide technical support and troubleshooting for data append systems, ensuring seamless integration and data accuracy.Troubleshooting and Issue Resolution:
Identify, diagnose, and resolve data-related issues promptly to minimize downtime and ensure data quality.Collaboration:
Work closely with data engineers, business partners, delivery teams, and other stakeholders to support the release of our data assets or report product improvement and bugs.Documentation:
Maintain comprehensive documentation of data processes, workflows, and system configurations.Continuous Improvement:
Identify opportunities for process improvements and implement best practices to enhance data operations efficiency.Qualifications:
Education:
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.Experience:
Minimum of 5 years of experience in data engineering or data operations, with a proven track record of managing complex data systems.Technical Skills:
Proficiency in SQL, Snowflake, Python, and AtlassianProblem-Solving:
Strong analytical and problem-solving skills with the ability to troubleshoot and resolve data issues effectively.Communication:
Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.Team Player:
Ability to work collaboratively in a team environment and manage multiple priorities in a fast-paced setting.
The anticipated salary range for this position is $94,000-$152,375. Salary is based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please visit www.dentsubenefitsplus.com.
#LI-MS3
#LI-Remote
Location:USA - Remote - Maryland
Brand:Merkle
Time Type:Full time
Contract Type:Permanent
Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to ApplicantAccommodations@dentsu.com by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
We are seeking a highly skilled and experienced Senior Data Operations Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with a focus on the execution and troubleshooting of existing data products. This role will involve managing Data ETL processes, building and maintaining data assets, and providing support for data append systems.
Key Responsibilities:Execute and Manage Data ETL Processes:
Oversee the extraction, transformation, and loading of data from various data suppliers to ensure timely delivery, data integrity and availability.Data Asset Builds:
Execute monthly processes to create, QA and release our data productsSupport Data Append Systems:
Provide technical support and troubleshooting for data append systems, ensuring seamless integration and data accuracy.Troubleshooting and Issue Resolution:
Identify, diagnose, and resolve data-related issues promptly to minimize downtime and ensure data quality.Collaboration:
Work closely with data engineers, business partners, delivery teams, and other stakeholders to support the release of our data assets or report product improvement and bugs.Documentation:
Maintain comprehensive documentation of data processes, workflows, and system configurations.Continuous Improvement:
Identify opportunities for process improvements and implement best practices to enhance data operations efficiency.Qualifications:
Education:
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.Experience:
Minimum of 5 years of experience in data engineering or data operations, with a proven track record of managing complex data systems.Technical Skills:
Proficiency in SQL, Snowflake, Python, and AtlassianProblem-Solving:
Strong analytical and problem-solving skills with the ability to troubleshoot and resolve data issues effectively.Communication:
Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.Team Player:
Ability to work collaboratively in a team environment and manage multiple priorities in a fast-paced setting.
The anticipated salary range for this position is $94,000-$152,375. Salary is based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available. For more information regarding dentsu benefits, please visit www.dentsubenefitsplus.com.
#LI-MS3
#LI-Remote
Location:USA - Remote - Maryland
Brand:Merkle
Time Type:Full time
Contract Type:Permanent
Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to ApplicantAccommodations@dentsu.com by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.