Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.
A data engineering professional —someone who thrives in a team setting where you can use your creative and analytical prowess to obliterate problems. You’re passionate about digital technology, and you take pride in making a tangible difference. You have communication and people skills in spades, along with strong leadership chops. Complex issues don’t faze you thanks to your razor-sharp critical thinking skills. Working in an information systems environment makes you more than happy.
Consult, as part of a team, to build end-to-end data pipeline capabilities
Be a part of a fast moving development team using Agile methodologies.
Design and build real-time analytics solutions using industry standard technologies and work with solution architects to ensure solutions align with technology direction.
Lead by example, role-modeling best practices for unit testing, performance testing, capacity planning, monitoring, CI/CD, and documentation,
Keep everyone from individual contributors to top executives in the loop about progress, communicating across organizations and levels. If critical issues block progress, refer them up the chain of command to be resolved in a timely manner.
Pinpoint and clarify key issues that need action, lead the response and articulate results clearly in actionable form.
Show a strong aptitude for carrying out solutions and translating objectives into a scalable solution that meets end customers’ needs within deadlines.
Here's what you need:
Minimum of 2 years of experience in programming and building large scale data/analytics solutions
Minimum of 2 years of experience working with SQL and common programming languages, like Python.
Minimum of 1 year of experience building data pipelines and SQL for Snowflake and general understanding of the Snowflake database architecture
Bonus points if:
Experience with Snowpipe for Snowflake data ingestion is a plus
You have experience in Cloud Platforms (specifically AWS and/or Azure) or you are AWS or Azure certified
You have experience in messaging platforms (Kafka, Kinesis, Azure Event Hub, Streaming platforms using PubSub, etc.)
You have experience with Spark any of the following programming languages: PySpark, Python, Scala
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