Senior Data Engineer
We are a digitally native company where innovation, design and engineering meet scale. We use the latest technologies in the digital and cognitive field to empower organizations in every aspect.
We want you to join us to work for the biggest clients in tech, retail, travel, banking, ecommerce and media, revolutionizing and growing their core businesses while helping them (and you!) stay ahead of the curve. Be part of a company with the most cutting-edge practices and technologies plus a unique team.
WHAT ARE WE LOOKING FOR?
A Senior Data Engineer, You will work under moderate supervision with an Agile team of engineers, architects, data scientists, and business partners to build data pipelines that transform data into valuable assets that provide consumer insights and build applications to monetize and drive advertising, marketing, content, and other business goals within Warner Bros Discoveries businesses.
YOUR ROLE ACCOUNTABILITIES?
• Work on high-profile data analytics, data derivation/curation, and data pipelines to deliver robust cloud-based solutions
• Create consumer data domains and data powered applications to drive experiences across the Warner Bros Discovery suite of DTC products.
• Leverage existing and develop new tools to ingest, clean, and merge data
• Utilize programming languages like Python, Scala, cloud based data warehousing services such as Snowflake, and cloud based AI platforms such as Databricks.
• Create ''End to End'' solutions, data pipelines using orchestration tools such as Airflow.
• Define data requirements, gather and mine large-scale structured and unstructured data, and validate data by running various data tools in a Cloud Big Data Environment
QUALIFICATIONS & EXPERIENCE:
• Must have 5 plus years experience with data or information systems engineering, with a focus on data lakes, data warehousing, analytics, data engineering, and Big Data
• Experience in Python and SQL
• Cloud development, preferably AWS
• Understanding of relational databases, data warehouses, dimensional modeling and cloud data storage.
• Experience with data-driven and BI applications
• Experience translating data, process, and business models into clear diagrams, data mappings, and technical designs
• Demonstrable oral and written communication skills
• Demonstrated creativity and teamwork skills
• Knowledge of machine learning and artificial intelligence preferred
• Proficiency in Scala preferred
• Experience with BI frameworks like Looker and Tableau preferred
• Experience in developing ETL data pipelines preferred
• Experience in orchestrating job workflows in Apache Airflow preferred
• Experience is automated code Integration and deployment pipeline using Jenkins, Github preferred
• Knowledge of analytics foundations, particularly Databricks and Domino Data Lab preferred
• Experience with Big Data technologies (Spark, EMR, Databricks) preferred
• Experience in Snowflake Data Warehouse preferred
• Knowledge of unstructured, semi-structured, NoSQL, graph, and other non-SQL data preferred
• Experience in media, news, and/or entertainment industry preferred
• Participation in technical professional societies and related professional certifications preferred
• BS or higher degree in Computer Science, engineering, MIS, or similar.
We are interested in hard-working, fast-learning talents and we have the know-how and scale to help you make your own career path. If you seek an entrepreneurial, flexible and team-oriented culture, come join us.
All of our engineers are backed up by our Technical Directors and Studios (centers of excellence), and our project team(s) of amazing “Globers”. Each team, while having their own personality, are part of the global tapestry that makes up our powerful culture of collaboration, agility and impact.
Globant reasonably expects the annual base compensation for this role to be $170,000. Specific offer details are determined by carefully considering a variety of factors, including the candidate’s primary work location, skills, experience, education, market demands, and internal parity.
For US-based employees, benefits include 100% medical, dental, and vision coverage for the employee and a smaller percentage for their dependents; annual discretionary bonuses; 401(k) retirement planning (including company match upon eligibility); paid time off/sick leave; paid holidays; family planning and leave benefits; an opportunity to participate in our employee stock purchase program; life insurance; and short- and long-term disability benefits.
We are ready.