**Experienced Full Stack Data Engineer – Web & Cloud Application Development**
About Us
We are a dynamic and innovative team at Disney, dedicated to pushing the boundaries of technology and creativity. Our Information and Investigation group for Disney Web-based features (DSS), a section under the Disney Diversion and ESPN Innovation (DE&ET), is seeking a highly skilled and motivated Lead Data Engineer to join our team. As a key member of our team, you will play a crucial role in driving the success of our data-driven initiatives and contributing to the growth and development of our organization.
Job Summary
We are looking for an experienced Full Stack Data Engineer to join our team in a full-time remote position. The successful candidate will have a strong technical foundation, excellent problem-solving skills, and a passion for working with large data sets. As a Lead Data Engineer, you will be responsible for designing, developing, and implementing advanced data solutions, collaborating with cross-functional teams, and ensuring high-quality data management and analysis.
Key Responsibilities
Add to the plan and development of our Information Items and Information Distribution centers around Commitment and Maintenance Examination and Information Science
Plan and foster versatile information warehousing arrangements, building ETL pipelines in Large Information conditions (cloud, on-prem, crossover)
Help engineer information arrangements/structures and characterize information models for the basic information distribution center and information shops
Team up with Information Item Chiefs, Information Modelers and Information Architects to configuration, carry out, and convey fruitful information arrangements
Keep up with nitty gritty documentation of your work and changes to help information quality and information administration
Guarantee high functional productivity and nature of your answers for meet SLAs and support obligation to our clients (Information Science, Information Examination groups)
Be a functioning member and supporter of light-footed/scrum practice to guarantee wellbeing and cycle enhancements for your group
Essential Qualifications
To be successful in this role, you will need to possess the following qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field
Strong SQL skills and ability to write complex queries to extract insights from large data sets
Experience with distributed systems like Hadoop (HDFS, Hive, Voila, PySpark) to query and process large data sets
Strong programming skills in Python, Java/Scala
Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query)
Strong knowledge of data integration toolsets (i.e. Wind current) and writing and maintaining data pipelines
Strong understanding of data modeling strategies and data warehousing standard practices
Experience with Scrum and Agile approaches
Preferred Qualifications
The following qualifications are highly desirable:
Experience with cloud technologies like AWS (S3, EMR, EC2)
Strong knowledge of data visualization tools and techniques
Experience with machine learning and artificial intelligence
Strong understanding of data governance and data quality principles
Skills and Competencies
To succeed in this role, you will need to possess the following skills and competencies:
Strong problem-solving skills and ability to think critically
Excellent communication and collaboration skills
Ability to work in a fast-paced environment and prioritize multiple tasks
Strong attention to detail and ability to maintain high-quality work
Ability to learn and adapt quickly to new technologies and tools
Career Growth Opportunities and Learning Benefits
We offer a range of career growth opportunities and learning benefits to support your professional development, including:
Regular training and development programs
Opportunities for career advancement and professional growth
Access to cutting-edge technologies and tools
Collaboration with experienced professionals and thought leaders
Work Environment and Company Culture
We offer a dynamic and inclusive work environment that values diversity, equity, and inclusion. Our company culture is built on the principles of innovation, creativity, and collaboration, and we are committed to providing a safe and supportive workplace for all employees.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including:
Competitive salary and bonus structure
Comprehensive health and wellness benefits
Retirement savings plan and matching program
Flexible work arrangements and remote work options
Access to on-site fitness center and wellness programs
Conclusion
We are excited to offer this opportunity to join our team as a Lead Data Engineer. If you are a motivated and experienced professional with a passion for working with large data sets, we encourage you to apply today. Please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you!
Apply Now
We are a dynamic and innovative team at Disney, dedicated to pushing the boundaries of technology and creativity. Our Information and Investigation group for Disney Web-based features (DSS), a section under the Disney Diversion and ESPN Innovation (DE&ET), is seeking a highly skilled and motivated Lead Data Engineer to join our team. As a key member of our team, you will play a crucial role in driving the success of our data-driven initiatives and contributing to the growth and development of our organization.
Job Summary
We are looking for an experienced Full Stack Data Engineer to join our team in a full-time remote position. The successful candidate will have a strong technical foundation, excellent problem-solving skills, and a passion for working with large data sets. As a Lead Data Engineer, you will be responsible for designing, developing, and implementing advanced data solutions, collaborating with cross-functional teams, and ensuring high-quality data management and analysis.
Key Responsibilities
Add to the plan and development of our Information Items and Information Distribution centers around Commitment and Maintenance Examination and Information Science
Plan and foster versatile information warehousing arrangements, building ETL pipelines in Large Information conditions (cloud, on-prem, crossover)
Help engineer information arrangements/structures and characterize information models for the basic information distribution center and information shops
Team up with Information Item Chiefs, Information Modelers and Information Architects to configuration, carry out, and convey fruitful information arrangements
Keep up with nitty gritty documentation of your work and changes to help information quality and information administration
Guarantee high functional productivity and nature of your answers for meet SLAs and support obligation to our clients (Information Science, Information Examination groups)
Be a functioning member and supporter of light-footed/scrum practice to guarantee wellbeing and cycle enhancements for your group
Essential Qualifications
To be successful in this role, you will need to possess the following qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field
Strong SQL skills and ability to write complex queries to extract insights from large data sets
Experience with distributed systems like Hadoop (HDFS, Hive, Voila, PySpark) to query and process large data sets
Strong programming skills in Python, Java/Scala
Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query)
Strong knowledge of data integration toolsets (i.e. Wind current) and writing and maintaining data pipelines
Strong understanding of data modeling strategies and data warehousing standard practices
Experience with Scrum and Agile approaches
Preferred Qualifications
The following qualifications are highly desirable:
Experience with cloud technologies like AWS (S3, EMR, EC2)
Strong knowledge of data visualization tools and techniques
Experience with machine learning and artificial intelligence
Strong understanding of data governance and data quality principles
Skills and Competencies
To succeed in this role, you will need to possess the following skills and competencies:
Strong problem-solving skills and ability to think critically
Excellent communication and collaboration skills
Ability to work in a fast-paced environment and prioritize multiple tasks
Strong attention to detail and ability to maintain high-quality work
Ability to learn and adapt quickly to new technologies and tools
Career Growth Opportunities and Learning Benefits
We offer a range of career growth opportunities and learning benefits to support your professional development, including:
Regular training and development programs
Opportunities for career advancement and professional growth
Access to cutting-edge technologies and tools
Collaboration with experienced professionals and thought leaders
Work Environment and Company Culture
We offer a dynamic and inclusive work environment that values diversity, equity, and inclusion. Our company culture is built on the principles of innovation, creativity, and collaboration, and we are committed to providing a safe and supportive workplace for all employees.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including:
Competitive salary and bonus structure
Comprehensive health and wellness benefits
Retirement savings plan and matching program
Flexible work arrangements and remote work options
Access to on-site fitness center and wellness programs
Conclusion
We are excited to offer this opportunity to join our team as a Lead Data Engineer. If you are a motivated and experienced professional with a passion for working with large data sets, we encourage you to apply today. Please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you!
Apply Now