Python ETL developer

  We are looking for driven individuals to join our team of passionate data engineers and data
scientists in creating next generation of data products and capabilities.
Candidates should possess deep knowledge of modern data processing technology stacks and SQL/NoSQL databases and have a strong background in software engineering. We are a small and efficient team building scalable data pipelines on cloud platform for data analysis and reporting process and providing a solution with machine learning and data mining techniques.

Responsibilities
● Build reusable products and systems that can effectively ingest data and leverage
across technology, business intelligence, and advertising operations teams.
● Support new feature developments and data sources for our data collection, reporting,
and analysis platforms.
● Collaborate with data analysts and project managers to identify and use the data that is
most relevant to the problem.
● Develop, deploy, and maintain the data products and systems.
● Work closely with data scientists to transform data and integrate algorithms and models
into the production system.

Qualifications
● Bachelor’s degree in Computer Science or equivalent practical experience. Master’s
degree a plus.
● 3+ years of solid experience in building the ETL/ELT pipeline. Familiarity with Airflow is a
plus
● Fluent in Python and SQL. Excellent working knowledge with relational databases.
● Knowledge with object-oriented or functional programming skills.
● Experience with bash shell scripts, UNIX/Linux commands.
● Experience with cloud platform. Google GCP preferred.

● Natural Language Processing(NLP) and/or Machine Learning(ML) skills desired.
● Knowledge of Big Data technologies such as Spark, Kafka, and Apache Solar a plus
● Ability to learn modern data technologies.
● Experience with agile methodology is a plus.
● Experience with BI tools like Looker and PowerBI is a bonus. 
--
RiVi Group

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