Experienced Full Stack Data Engineer – Cloud and Big Data Application Development at careerzynith
Are you an innovative and driven data engineer looking to take your career to the next level? Do you have a passion for working with cutting-edge data technologies and a desire to shape the future of careerzynith's streaming services? We are seeking an experienced Full Stack Data Engineer to join our Information and Analytics group, and we want you to be a part of it!
**About careerzynith**
careerzynith is a leading entertainment company that is revolutionizing the way people consume content. With a strong focus on innovation and customer satisfaction, we are constantly pushing the boundaries of what is possible with data-driven solutions. Our team is passionate about using data to enhance our content offerings, boost customer satisfaction, and drive new business initiatives. If you are passionate about big data and are ready to innovate with one of the world's leading entertainment companies, apply today and become part of careerzynith's streaming future.
**Job Overview**
The careerzynith Streaming Services (DSS) team under careerzynith Entertainment & ESPN Technology (DE&ET) is seeking a Lead Data Engineer to join our Information and Analytics group. This team is critical to informing strategic decisions on content development, pricing strategies, advertising effectiveness, customer engagement, and market expansion. We are looking for an enthusiastic data engineer with a strong technical foundation to drive data solutions that empower careerzynith's growth in online streaming services.
**Responsibilities**
As a Lead Data Engineer, you will be responsible for:
* **Data Product Development**: Contribute to the design and expansion of our data products and data warehouses focused on customer engagement, retention analysis, and data science initiatives.
* **ETL Pipeline Development**: Build scalable data warehousing solutions, including creating ETL (Extract, Transform, Load) pipelines for big data environments (cloud, on-premises, or hybrid).
* **Data Engineering Solutions**: Design data architectures and models for our core data warehouses and data marts.
* **Collaboration**: Work closely with data product managers, data architects, and engineers to implement and deliver high-impact data solutions.
* **Documentation & Data Governance**: Maintain detailed documentation of data workflows and ensure adherence to data quality standards.
* **Operational Efficiency**: Ensure the reliability and performance of data solutions, meeting SLAs and supporting key data needs of teams like Data Science and Analytics.
* **Agile Practices**: Actively participate in agile and scrum processes to promote continuous improvement within the team.
**Key Qualifications**
To be successful in this role, you will need:
* **SQL Proficiency**: Strong skills in SQL with the ability to write complex queries for data extraction and to build performant datasets.
* **Experience with Distributed Systems**: Hands-on experience with distributed systems, such as Spark and Hadoop (HDFS, Hive, Voila, PySpark), for data querying and processing.
* **Programming Skills**: Proficient in Python and Java or Scala.
* **MPP/Cloud Databases**: Experience with at least one major MPP (Massively Parallel Processing) or cloud database technology (e.g., Snowflake, Redshift, BigQuery).
* **Data Integration & Pipelines**: Strong background in data integration toolsets (e.g., Apache Airflow) and experience in building and maintaining data pipelines.
* **Data Modeling & Warehousing**: Skilled in data modeling techniques and knowledgeable about standard data warehousing practices.
* **Agile Methodology**: Familiarity with agile and scrum methodologies.
* **Analytical & Communication Skills**: Problem-solving skills, attention to detail, strong analytical abilities, and excellent interpersonal skills.
**Preferred Experience**
While not required, experience with cloud technologies, especially AWS (S3, EMR, EC2), is a plus.
**Benefits**
As a Lead Data Engineer at careerzynith, you will enjoy:
* **Competitive hourly rate of $24**
* **Work in an innovative team shaping the future of careerzynith's streaming services**
* **Opportunity to work with cutting-edge data technology in a collaborative and dynamic environment**
**About careerzynith Streaming Services (DSS)**
At careerzynith, data is vital for all decision-making processes. We use data to enhance our content offerings, boost customer satisfaction, and drive new business initiatives. Joining our team provides the unique opportunity to work on data-driven solutions that make a direct impact on our products and services worldwide.
**Don't Hesitate, Apply!**
If you are passionate about big data and are ready to innovate with one of the world's leading entertainment companies, apply today and become part of careerzynith's streaming future. We value a great attitude and a willingness to learn above all, so don't worry if you don't meet every single requirement. Submit your application today!
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Apply for this job
**About careerzynith**
careerzynith is a leading entertainment company that is revolutionizing the way people consume content. With a strong focus on innovation and customer satisfaction, we are constantly pushing the boundaries of what is possible with data-driven solutions. Our team is passionate about using data to enhance our content offerings, boost customer satisfaction, and drive new business initiatives. If you are passionate about big data and are ready to innovate with one of the world's leading entertainment companies, apply today and become part of careerzynith's streaming future.
**Job Overview**
The careerzynith Streaming Services (DSS) team under careerzynith Entertainment & ESPN Technology (DE&ET) is seeking a Lead Data Engineer to join our Information and Analytics group. This team is critical to informing strategic decisions on content development, pricing strategies, advertising effectiveness, customer engagement, and market expansion. We are looking for an enthusiastic data engineer with a strong technical foundation to drive data solutions that empower careerzynith's growth in online streaming services.
**Responsibilities**
As a Lead Data Engineer, you will be responsible for:
* **Data Product Development**: Contribute to the design and expansion of our data products and data warehouses focused on customer engagement, retention analysis, and data science initiatives.
* **ETL Pipeline Development**: Build scalable data warehousing solutions, including creating ETL (Extract, Transform, Load) pipelines for big data environments (cloud, on-premises, or hybrid).
* **Data Engineering Solutions**: Design data architectures and models for our core data warehouses and data marts.
* **Collaboration**: Work closely with data product managers, data architects, and engineers to implement and deliver high-impact data solutions.
* **Documentation & Data Governance**: Maintain detailed documentation of data workflows and ensure adherence to data quality standards.
* **Operational Efficiency**: Ensure the reliability and performance of data solutions, meeting SLAs and supporting key data needs of teams like Data Science and Analytics.
* **Agile Practices**: Actively participate in agile and scrum processes to promote continuous improvement within the team.
**Key Qualifications**
To be successful in this role, you will need:
* **SQL Proficiency**: Strong skills in SQL with the ability to write complex queries for data extraction and to build performant datasets.
* **Experience with Distributed Systems**: Hands-on experience with distributed systems, such as Spark and Hadoop (HDFS, Hive, Voila, PySpark), for data querying and processing.
* **Programming Skills**: Proficient in Python and Java or Scala.
* **MPP/Cloud Databases**: Experience with at least one major MPP (Massively Parallel Processing) or cloud database technology (e.g., Snowflake, Redshift, BigQuery).
* **Data Integration & Pipelines**: Strong background in data integration toolsets (e.g., Apache Airflow) and experience in building and maintaining data pipelines.
* **Data Modeling & Warehousing**: Skilled in data modeling techniques and knowledgeable about standard data warehousing practices.
* **Agile Methodology**: Familiarity with agile and scrum methodologies.
* **Analytical & Communication Skills**: Problem-solving skills, attention to detail, strong analytical abilities, and excellent interpersonal skills.
**Preferred Experience**
While not required, experience with cloud technologies, especially AWS (S3, EMR, EC2), is a plus.
**Benefits**
As a Lead Data Engineer at careerzynith, you will enjoy:
* **Competitive hourly rate of $24**
* **Work in an innovative team shaping the future of careerzynith's streaming services**
* **Opportunity to work with cutting-edge data technology in a collaborative and dynamic environment**
**About careerzynith Streaming Services (DSS)**
At careerzynith, data is vital for all decision-making processes. We use data to enhance our content offerings, boost customer satisfaction, and drive new business initiatives. Joining our team provides the unique opportunity to work on data-driven solutions that make a direct impact on our products and services worldwide.
**Don't Hesitate, Apply!**
If you are passionate about big data and are ready to innovate with one of the world's leading entertainment companies, apply today and become part of careerzynith's streaming future. We value a great attitude and a willingness to learn above all, so don't worry if you don't meet every single requirement. Submit your application today!
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Apply for this job