**Experienced Full Stack Data Engineer – Cloud and Big Data Application Development at arenaflex**
About arenaflex
arenaflex is a leading innovator in the entertainment and media industry, renowned for its commitment to delivering exceptional experiences to its clients, sponsors, and content partners. As a forward-thinking organization, arenaflex is constantly seeking talented individuals who share its passion for innovation and excellence. Our Information and Investigation group for arenaflex Web-based features (DSS), a section under the arenaflex Diversion and ESPN Innovation (DE&ET), is searching for a Lead Data Engineer to join our team.
Job Summary
We are seeking an experienced and highly motivated Lead Data Engineer to lead the development and implementation of our data items and data warehouses around Commitment and Maintenance Examination and Information Science. As a key member of our team, you will be responsible for designing and developing scalable data warehousing solutions, building ETL pipelines in Large Data conditions (cloud, on-prem, hybrid), and collaborating with Information Item Chiefs, Information Modelers, and Information Architects to deliver successful data solutions.
Key Responsibilities
Add to the plan and development of our data items and data warehouses around Commitment and Maintenance Examination and Information Science.
Plan and develop versatile data warehousing solutions, building ETL pipelines in Large Data conditions (cloud, on-prem, hybrid).
Help engineer data solutions/structures and define data models for the core data warehouse and data shops.
Collaborate with Information Item Chiefs, Information Modelers, and Information Architects to design, implement, and deliver successful data solutions.
Maintain detailed documentation of your work and changes to ensure data quality and data administration.
Guarantee high functional productivity and quality of your solutions to meet SLAs and support obligation to our clients (Information Science, Information Examination groups).
Be a proactive member and supporter of agile/scrum practice to ensure well-being and cycle enhancements for your team.
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 queries to extract data and build performant datasets.
Experience with distributed systems like Hadoop (HDFS, Hive, Voila, PySpark) to query and process data.
Strong programming skills in Python, Java/Scala.
Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query).
Strong involvement in data integration toolsets (i.e. Wind current) and composing and maintaining data pipelines.
Strong knowledge of Data Modeling strategies and Data Warehousing standard systems and practices.
Experience with Scrum and Agile approaches.
Preferred Qualifications
While not essential, the following qualifications would be highly desirable:
Experience with Cloud advances like AWS (S3, EMR, EC2).
Strong knowledge of Big Data technologies like Hadoop, Spark, and NoSQL databases.
Experience with data visualization tools like Tableau, Power BI, or D3.js.
Strong understanding of data security and compliance regulations.
Skills and Competencies
To succeed in this role, you will need to possess the following skills and competencies:
Strong analytical and problem-solving skills.
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 standards.
Ability to adapt to changing requirements and priorities.
Career Growth Opportunities and Learning Benefits
At arenaflex, we believe in investing in our employees' growth and development. As a Lead Data Engineer, you will have opportunities to:
Develop your technical skills and expertise in Big Data and Cloud technologies.
Collaborate with cross-functional teams to deliver successful projects.
Take on leadership roles and mentor junior team members.
Participate in training and development programs to enhance your skills and knowledge.
Work Environment and Company Culture
arenaflex is a dynamic and innovative organization that values collaboration, creativity, and excellence. As a Lead Data Engineer, you will be part of a team that is passionate about delivering exceptional results and making a meaningful impact. Our work environment is fast-paced and challenging, but also supportive and inclusive.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including:
Base salary: $24/hour.
Benefits package, including health insurance, retirement plan, and paid time off.
Opportunities for professional growth and development.
Collaborative and dynamic work environment.
How to Apply
If you are a motivated and experienced Lead Data Engineer looking for a new challenge, please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you!
arenaflex is a leading innovator in the entertainment and media industry, renowned for its commitment to delivering exceptional experiences to its clients, sponsors, and content partners. As a forward-thinking organization, arenaflex is constantly seeking talented individuals who share its passion for innovation and excellence. Our Information and Investigation group for arenaflex Web-based features (DSS), a section under the arenaflex Diversion and ESPN Innovation (DE&ET), is searching for a Lead Data Engineer to join our team.
Job Summary
We are seeking an experienced and highly motivated Lead Data Engineer to lead the development and implementation of our data items and data warehouses around Commitment and Maintenance Examination and Information Science. As a key member of our team, you will be responsible for designing and developing scalable data warehousing solutions, building ETL pipelines in Large Data conditions (cloud, on-prem, hybrid), and collaborating with Information Item Chiefs, Information Modelers, and Information Architects to deliver successful data solutions.
Key Responsibilities
Add to the plan and development of our data items and data warehouses around Commitment and Maintenance Examination and Information Science.
Plan and develop versatile data warehousing solutions, building ETL pipelines in Large Data conditions (cloud, on-prem, hybrid).
Help engineer data solutions/structures and define data models for the core data warehouse and data shops.
Collaborate with Information Item Chiefs, Information Modelers, and Information Architects to design, implement, and deliver successful data solutions.
Maintain detailed documentation of your work and changes to ensure data quality and data administration.
Guarantee high functional productivity and quality of your solutions to meet SLAs and support obligation to our clients (Information Science, Information Examination groups).
Be a proactive member and supporter of agile/scrum practice to ensure well-being and cycle enhancements for your team.
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 queries to extract data and build performant datasets.
Experience with distributed systems like Hadoop (HDFS, Hive, Voila, PySpark) to query and process data.
Strong programming skills in Python, Java/Scala.
Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query).
Strong involvement in data integration toolsets (i.e. Wind current) and composing and maintaining data pipelines.
Strong knowledge of Data Modeling strategies and Data Warehousing standard systems and practices.
Experience with Scrum and Agile approaches.
Preferred Qualifications
While not essential, the following qualifications would be highly desirable:
Experience with Cloud advances like AWS (S3, EMR, EC2).
Strong knowledge of Big Data technologies like Hadoop, Spark, and NoSQL databases.
Experience with data visualization tools like Tableau, Power BI, or D3.js.
Strong understanding of data security and compliance regulations.
Skills and Competencies
To succeed in this role, you will need to possess the following skills and competencies:
Strong analytical and problem-solving skills.
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 standards.
Ability to adapt to changing requirements and priorities.
Career Growth Opportunities and Learning Benefits
At arenaflex, we believe in investing in our employees' growth and development. As a Lead Data Engineer, you will have opportunities to:
Develop your technical skills and expertise in Big Data and Cloud technologies.
Collaborate with cross-functional teams to deliver successful projects.
Take on leadership roles and mentor junior team members.
Participate in training and development programs to enhance your skills and knowledge.
Work Environment and Company Culture
arenaflex is a dynamic and innovative organization that values collaboration, creativity, and excellence. As a Lead Data Engineer, you will be part of a team that is passionate about delivering exceptional results and making a meaningful impact. Our work environment is fast-paced and challenging, but also supportive and inclusive.
Compensation, Perks, and Benefits
We offer a competitive salary and benefits package, including:
Base salary: $24/hour.
Benefits package, including health insurance, retirement plan, and paid time off.
Opportunities for professional growth and development.
Collaborative and dynamic work environment.
How to Apply
If you are a motivated and experienced Lead Data Engineer looking for a new challenge, please submit your application, including your resume and cover letter, to [insert contact information]. We look forward to hearing from you!