EntertainmentCareers.Net
Data Engineer
Pantaya
Santa Monica, CA
Uh oh, this posting was removed on 10/18/2021 1:06:00 PM PST
Don't worry we have a lot of jobs on the site like this one;
Browse all jobs
Browse the IS/IT Category
Search for Data Engineer jobs in Santa Monica-CA
Data Engineer
Pantaya is the leading Spanish-language subscription video on demand (SVOD) service in the U.S., streaming the biggest names and most popular titles in Spanish entertainment via its premium catalog of original series and top-grossing movies.
Pantaya has grown rapidly in its first three years, and the company is seeking a seasoned Data Engineer (full-time, salary, regular) to join our team. At Pantaya data is central to measuring all aspects of the business, and critical to its operations and growth. The BI data engineering team is responsible for collecting, analyzing, and distributing data using public cloud and open-source technologies and offers transparency into customer behavior and business performance
Responsibilities:
• Collaborate with product teams and data analysts to design and build data-forward solutions
• Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
• Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
• Build and maintain dimensional data warehouses in support of business intelligence tools
• Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
• Drive and maintain a culture of quality, innovation, and experimentation
• Deliver strong Python and SQL development and maintenance techniques surrounding data movement to include technologies
• Investigate and understand different data sources and ability to connect to a wide variety of 3rd party APIs
• Design, enhance and implement ETL/data ingestion platform on the cloud
• Development of ETL source and target mapping design/specifications based on the business requirements. Create ETLs/ELTs to take data from various operational systems and create a unified/enterprise data model for analytics and reporting
• Develop load and transformation processes in support of the requirements, validate that they meet business and technical specifications, manage ongoing maintenance of the system and data, and make recommendations for process improvements to optimize data movement from source to target
• Provide production and operational support to existing ETL jobs. Monitor and manage production ETL jobs to verify execution and measure performance to assure ongoing data quality and optimization of the system to manage scalability and performance and identify improvement opportunities for key ETL processes.
• Strong troubleshooting and problem-solving skills in large data environment
• Capable of investigating, familiarizing, and mastering new data sets quickly
Supervisory Responsibility:
• This position may include supervising one or more employees where applicable.
We are looking for someone who has:
• Bachelor's degree - Computer Science or equivalent
• Strong background in scripting language using Python, Bash, Perl, PHP or any other language to solving data problems
• Experience with Snowflake and deep understanding of mobile stores' feeds (iTunes, Google store, Roku, etc.)
• Experience with relational SQL and NoSQL databases, including Postgres, Neo4j and MongoDb
• Experience with Big Data tools; Hadoop, Spark, Kafka, Hive etc.
• Proficiency with the AWS cloud services: EC2, EMR, RDS, S3
• Proficiency with data exchange types and protocols (json, xml, soap, rest)
• Experience with Stream Processing systems: Storm, Spark-Streaming etc.
• Experience with BI tools like Tableau or any other open-source BI tools etc.
Knowledge, Skills, & Abilities:
• Knowledge of the Python data ecosystem using pandas and numpy
• Data integration tools
• Proficiency in SQL, data modeling, and data warehousing
• Excellent problem-solving skills
• Exposure to cloud platforms (preferably AWS)
Equipment/Software Used:
• Microsoft Office Suite (Outlook, Word, Excel, PowerPoint)
• SQL, MySQL, or other relational databases
• Linux, Python, AWS Stack (EC2, EMR S3, Redshift)
• Tableau or any other data visualization tool
• Adobe Analytics and/or Google Analytics and/or other web analytics tools experience (Nice to have)
Work Environment:
• Work is performed in an office environment that is well lit and ventilated.
NOTE: This position description reflects management's assignment of essential functions; it does not prescribe or restrict any other tasks that may be assigned.
EEO Statement
U.S. Equal Opportunity Employment Information
Individuals seeking employment at Hemisphere Media, Inc and any of its subsidiaries are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any characteristics protected by law.
Don't worry we have a lot of jobs on the site like this one;
Browse all jobs
Browse the IS/IT Category
Search for Data Engineer jobs in Santa Monica-CA
Data Engineer
Pantaya is the leading Spanish-language subscription video on demand (SVOD) service in the U.S., streaming the biggest names and most popular titles in Spanish entertainment via its premium catalog of original series and top-grossing movies.
Pantaya has grown rapidly in its first three years, and the company is seeking a seasoned Data Engineer (full-time, salary, regular) to join our team. At Pantaya data is central to measuring all aspects of the business, and critical to its operations and growth. The BI data engineering team is responsible for collecting, analyzing, and distributing data using public cloud and open-source technologies and offers transparency into customer behavior and business performance
Responsibilities:
• Collaborate with product teams and data analysts to design and build data-forward solutions
• Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
• Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
• Build and maintain dimensional data warehouses in support of business intelligence tools
• Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
• Drive and maintain a culture of quality, innovation, and experimentation
• Deliver strong Python and SQL development and maintenance techniques surrounding data movement to include technologies
• Investigate and understand different data sources and ability to connect to a wide variety of 3rd party APIs
• Design, enhance and implement ETL/data ingestion platform on the cloud
• Development of ETL source and target mapping design/specifications based on the business requirements. Create ETLs/ELTs to take data from various operational systems and create a unified/enterprise data model for analytics and reporting
• Develop load and transformation processes in support of the requirements, validate that they meet business and technical specifications, manage ongoing maintenance of the system and data, and make recommendations for process improvements to optimize data movement from source to target
• Provide production and operational support to existing ETL jobs. Monitor and manage production ETL jobs to verify execution and measure performance to assure ongoing data quality and optimization of the system to manage scalability and performance and identify improvement opportunities for key ETL processes.
• Strong troubleshooting and problem-solving skills in large data environment
• Capable of investigating, familiarizing, and mastering new data sets quickly
Supervisory Responsibility:
• This position may include supervising one or more employees where applicable.
We are looking for someone who has:
• Bachelor's degree - Computer Science or equivalent
• Strong background in scripting language using Python, Bash, Perl, PHP or any other language to solving data problems
• Experience with Snowflake and deep understanding of mobile stores' feeds (iTunes, Google store, Roku, etc.)
• Experience with relational SQL and NoSQL databases, including Postgres, Neo4j and MongoDb
• Experience with Big Data tools; Hadoop, Spark, Kafka, Hive etc.
• Proficiency with the AWS cloud services: EC2, EMR, RDS, S3
• Proficiency with data exchange types and protocols (json, xml, soap, rest)
• Experience with Stream Processing systems: Storm, Spark-Streaming etc.
• Experience with BI tools like Tableau or any other open-source BI tools etc.
Knowledge, Skills, & Abilities:
• Knowledge of the Python data ecosystem using pandas and numpy
• Data integration tools
• Proficiency in SQL, data modeling, and data warehousing
• Excellent problem-solving skills
• Exposure to cloud platforms (preferably AWS)
Equipment/Software Used:
• Microsoft Office Suite (Outlook, Word, Excel, PowerPoint)
• SQL, MySQL, or other relational databases
• Linux, Python, AWS Stack (EC2, EMR S3, Redshift)
• Tableau or any other data visualization tool
• Adobe Analytics and/or Google Analytics and/or other web analytics tools experience (Nice to have)
Work Environment:
• Work is performed in an office environment that is well lit and ventilated.
NOTE: This position description reflects management's assignment of essential functions; it does not prescribe or restrict any other tasks that may be assigned.
EEO Statement
U.S. Equal Opportunity Employment Information
Individuals seeking employment at Hemisphere Media, Inc and any of its subsidiaries are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any characteristics protected by law.
Per your acceptance of our Terms of Use, if you aggregate, display, copy, duplicate, reproduce, or otherwise exploit for any purpose any Content (except for your own Content) in violation of these Terms without EntertainmentCareers.Net's express written permission, you agree to pay EntertainmentCareers.Net three thousand dollars ($3,000) for each day on which you engage in such conduct.#9/7/2021 1:43:49 PM