Experienced Full Stack Data Engineer – Privacy (Remote, Part Time)
At careerzynith, we're revolutionizing the way people consume entertainment and connect with each other. With over 230 million subscribers worldwide, we're constantly innovating and pushing the boundaries of what's possible. Our latest initiatives, including a advertising-backed model, Games, and Live content, have significantly increased the complexity and scope of our internal data ecosystem. As one of the largest paid membership services, we're committed to handling our users' data with the utmost care, adhering to the highest standards of data protection and compliance with local regulations in the 190 countries where we operate.
Our Security and Legal Information Engineering team is at the forefront of building adaptable data management and extraction structures that enable us to maintain the highest levels of data protection and cleanliness. We're seeking an experienced Data Engineer to join our team and help us build robust, flexible, and privacy-driven data structures. As part of this team, you'll work with various data technologies like Flash, Voila, Flink, Kafka, and others to create fast, flexible, and powerful data pipelines; write ETL tasks to collect and aggregate data; and design high-quality data structures that enable proper handling of user personal data.
**Job Summary:**
We're looking for a highly skilled Data Engineer to join our team and contribute to the development of our data management and extraction structures. As a Data Engineer, you'll be responsible for designing and implementing data pipelines, working with our protection designing groups to understand item objectives, and providing data that enables us to respond to client and administrative information demands.
**Responsibilities:**
* Engineer effective, versatile, and adaptable data pipelines to handle structured and unstructured data
* Develop a deep understanding of the data ecosystem at careerzynith from a privacy-focused perspective
* Collaborate with the protection designing groups to understand item objectives and provide data that enables us to respond to client and administrative information demands
* Maintain and reevaluate existing datasets and pipelines
* Join a talented team of data engineers who enhance our data protection act and mitigate legal and administrative risk
**Requirements:**
* Energetic about consumer-driven data protection and risk alleviation for the business
* Profoundly skilled in at least one of Java, Python, or Scala with at least 2 years of programming/data engineering experience
* Familiar with advanced SQL
* Experienced in designing data pipelines using big data technologies (Hive, Voila, Flash, Flink) on medium to large-scale datasets
* Skilled at taking requirements and implementing flexible data models and pipelines
* Passionate about showcasing excellence, learning new technologies, and growing your career
**Preferred Qualifications:**
* Experience with data warehousing and business intelligence tools
* Knowledge of cloud-based data platforms (AWS, GCP, Azure)
* Familiarity with data governance and compliance frameworks (GDPR, HIPAA, CCPA)
* Experience with data visualization tools (Tableau, Power BI, D3.js)
**What We Offer:**
* A dynamic and collaborative work environment with a talented team of data engineers
* Opportunities for professional growth and development in a rapidly evolving industry
* A comprehensive benefits package, including health insurance, retirement savings, and paid time off
* A competitive salary and bonus structure
* A flexible and remote work arrangement, with the option to work from home or our office
**How to Apply:**
If you're passionate about data engineering and committed to delivering exceptional results, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples to [insert contact information]. We can't wait to hear from you!
**About careerzynith:**
careerzynith is a leading entertainment company that's revolutionizing the way people consume content. With a global presence and a commitment to innovation, we're constantly pushing the boundaries of what's possible. Our team is passionate about delivering exceptional results and making a meaningful impact on our users' lives. If you're looking for a challenging and rewarding career opportunity, we invite you to join our team and be a part of our exciting journey.
Apply for this job
Our Security and Legal Information Engineering team is at the forefront of building adaptable data management and extraction structures that enable us to maintain the highest levels of data protection and cleanliness. We're seeking an experienced Data Engineer to join our team and help us build robust, flexible, and privacy-driven data structures. As part of this team, you'll work with various data technologies like Flash, Voila, Flink, Kafka, and others to create fast, flexible, and powerful data pipelines; write ETL tasks to collect and aggregate data; and design high-quality data structures that enable proper handling of user personal data.
**Job Summary:**
We're looking for a highly skilled Data Engineer to join our team and contribute to the development of our data management and extraction structures. As a Data Engineer, you'll be responsible for designing and implementing data pipelines, working with our protection designing groups to understand item objectives, and providing data that enables us to respond to client and administrative information demands.
**Responsibilities:**
* Engineer effective, versatile, and adaptable data pipelines to handle structured and unstructured data
* Develop a deep understanding of the data ecosystem at careerzynith from a privacy-focused perspective
* Collaborate with the protection designing groups to understand item objectives and provide data that enables us to respond to client and administrative information demands
* Maintain and reevaluate existing datasets and pipelines
* Join a talented team of data engineers who enhance our data protection act and mitigate legal and administrative risk
**Requirements:**
* Energetic about consumer-driven data protection and risk alleviation for the business
* Profoundly skilled in at least one of Java, Python, or Scala with at least 2 years of programming/data engineering experience
* Familiar with advanced SQL
* Experienced in designing data pipelines using big data technologies (Hive, Voila, Flash, Flink) on medium to large-scale datasets
* Skilled at taking requirements and implementing flexible data models and pipelines
* Passionate about showcasing excellence, learning new technologies, and growing your career
**Preferred Qualifications:**
* Experience with data warehousing and business intelligence tools
* Knowledge of cloud-based data platforms (AWS, GCP, Azure)
* Familiarity with data governance and compliance frameworks (GDPR, HIPAA, CCPA)
* Experience with data visualization tools (Tableau, Power BI, D3.js)
**What We Offer:**
* A dynamic and collaborative work environment with a talented team of data engineers
* Opportunities for professional growth and development in a rapidly evolving industry
* A comprehensive benefits package, including health insurance, retirement savings, and paid time off
* A competitive salary and bonus structure
* A flexible and remote work arrangement, with the option to work from home or our office
**How to Apply:**
If you're passionate about data engineering and committed to delivering exceptional results, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples to [insert contact information]. We can't wait to hear from you!
**About careerzynith:**
careerzynith is a leading entertainment company that's revolutionizing the way people consume content. With a global presence and a commitment to innovation, we're constantly pushing the boundaries of what's possible. Our team is passionate about delivering exceptional results and making a meaningful impact on our users' lives. If you're looking for a challenging and rewarding career opportunity, we invite you to join our team and be a part of our exciting journey.
Apply for this job