Experienced Full Stack Data Engineer – Cloud and Data Pipeline Development
Join careerzynith, a leading entertainment and media conglomerate, in its quest to revolutionize the way we experience entertainment and storytelling. As a Senior Data Engineer, you will play a pivotal role in shaping the future of careerzynith's data-driven initiatives, working closely with cross-functional teams to design, build, and deploy scalable data pipelines and systems.
**About careerzynith**
careerzynith is a global leader in the entertainment and media industry, with a rich history of innovation and creativity. Our mission is to inspire and entertain audiences around the world, while also driving growth and profitability through data-driven decision making. As a Senior Data Engineer, you will be part of a dynamic team that is passionate about leveraging data to drive business outcomes and improve customer experiences.
**Job Summary**
We are seeking an experienced Full Stack Data Engineer to join our Item Execution and Instrumentation Group. As a Senior Data Engineer, you will be responsible for designing, building, and deploying scalable data pipelines and systems that support careerzynith's business objectives. You will work closely with cross-functional teams to identify business needs, design solutions, and implement data-driven initiatives that drive growth and profitability.
**Key Responsibilities**
* Design, build, and deploy scalable data pipelines and systems using Scala, Python, and other programming languages
* Collaborate with data engineers, data scientists, and business stakeholders to identify business needs and design solutions
* Develop and maintain ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
* Implement Lakehouse engineering, working with key partners to move towards a Lakehouse-driven data platform
* Work with AWS, Snowflake, Databricks, Delta Lake, and other cloud-based technologies to design and deploy scalable data systems
* Collaborate with data engineers, data scientists, and business stakeholders to design, execute, and deliver effective data solutions
* Maintain detailed documentation of work and changes to ensure data quality and data governance
* Ensure high functional proficiency and quality of solutions to meet SLAs and support obligations to our clients (Data Science, Data Engineering teams)
* Participate in agile/scrum practices to ensure safety and collaboration upgrades for the team
* Act as a problem solver, researching and organizing to find solutions to new challenges
* Identify business issues and opportunities to automate processes and streamline costs
* Engage with and understand our clients, forming relationships that enable us to understand and focus on both innovative new offerings and steady platform upgrades
**Required Education, Experience/Abilities/Training**
* Strong algorithmic thinking ability
* Strong SQL skills and ability to write queries to extract data and build performant datasets
* Active experience with deployed systems, such as Databricks and PySpark, to query and handle data
* Strong key Scala and Python programming skills
* Strong hands-on experience with Cloud technologies like AWS (S3, EMR, EC2)
* Experience with at least one major MPP or cloud database technology (Ideally Snowflake, Redshift, Large Query)
* Strong experience with data integration toolsets (i.e. Wind current) and writing and maintaining data pipelines with Databricks
* Experience in Data Modeling procedures and Data Warehousing standard approaches and practices
* Familiarity with Scrum and Agile approaches
* Demonstrated excellent interpersonal skills, including ability to work with others and build consensus in a cross-functional team towards an optimal result
**Required Education**
* Four-year degree in Computer Science, Data Systems or related field, or equivalent work experience
**What We Offer**
* Competitive salary and benefits package
* Opportunity to work with a global leader in the entertainment and media industry
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Flexible work arrangements, including remote work options
* Access to cutting-edge technologies and tools
* Recognition and rewards for outstanding performance
**How to Apply**
If you are a motivated and experienced Full Stack Data Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
**careerzynith is an equal opportunities employer and welcomes applications from diverse candidates.**
Apply for this job
**About careerzynith**
careerzynith is a global leader in the entertainment and media industry, with a rich history of innovation and creativity. Our mission is to inspire and entertain audiences around the world, while also driving growth and profitability through data-driven decision making. As a Senior Data Engineer, you will be part of a dynamic team that is passionate about leveraging data to drive business outcomes and improve customer experiences.
**Job Summary**
We are seeking an experienced Full Stack Data Engineer to join our Item Execution and Instrumentation Group. As a Senior Data Engineer, you will be responsible for designing, building, and deploying scalable data pipelines and systems that support careerzynith's business objectives. You will work closely with cross-functional teams to identify business needs, design solutions, and implement data-driven initiatives that drive growth and profitability.
**Key Responsibilities**
* Design, build, and deploy scalable data pipelines and systems using Scala, Python, and other programming languages
* Collaborate with data engineers, data scientists, and business stakeholders to identify business needs and design solutions
* Develop and maintain ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
* Implement Lakehouse engineering, working with key partners to move towards a Lakehouse-driven data platform
* Work with AWS, Snowflake, Databricks, Delta Lake, and other cloud-based technologies to design and deploy scalable data systems
* Collaborate with data engineers, data scientists, and business stakeholders to design, execute, and deliver effective data solutions
* Maintain detailed documentation of work and changes to ensure data quality and data governance
* Ensure high functional proficiency and quality of solutions to meet SLAs and support obligations to our clients (Data Science, Data Engineering teams)
* Participate in agile/scrum practices to ensure safety and collaboration upgrades for the team
* Act as a problem solver, researching and organizing to find solutions to new challenges
* Identify business issues and opportunities to automate processes and streamline costs
* Engage with and understand our clients, forming relationships that enable us to understand and focus on both innovative new offerings and steady platform upgrades
**Required Education, Experience/Abilities/Training**
* Strong algorithmic thinking ability
* Strong SQL skills and ability to write queries to extract data and build performant datasets
* Active experience with deployed systems, such as Databricks and PySpark, to query and handle data
* Strong key Scala and Python programming skills
* Strong hands-on experience with Cloud technologies like AWS (S3, EMR, EC2)
* Experience with at least one major MPP or cloud database technology (Ideally Snowflake, Redshift, Large Query)
* Strong experience with data integration toolsets (i.e. Wind current) and writing and maintaining data pipelines with Databricks
* Experience in Data Modeling procedures and Data Warehousing standard approaches and practices
* Familiarity with Scrum and Agile approaches
* Demonstrated excellent interpersonal skills, including ability to work with others and build consensus in a cross-functional team towards an optimal result
**Required Education**
* Four-year degree in Computer Science, Data Systems or related field, or equivalent work experience
**What We Offer**
* Competitive salary and benefits package
* Opportunity to work with a global leader in the entertainment and media industry
* Collaborative and dynamic work environment
* Professional development and growth opportunities
* Flexible work arrangements, including remote work options
* Access to cutting-edge technologies and tools
* Recognition and rewards for outstanding performance
**How to Apply**
If you are a motivated and experienced Full Stack Data Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
**careerzynith is an equal opportunities employer and welcomes applications from diverse candidates.**
Apply for this job