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Granify knows which shoppers aren't going to buy and changes their minds.

Senior Data Engineer

$80k – $100k • 0.0% – 0.2%
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We’re searching for Senior Data Engineers who value mastery, authenticity, and positivity to help build and grow our product. As we lead the way into a trillion dollar industry, we want someone who wants to have a big impact - if this is you, we want you to be a part of it!

Love data? Massive amounts of data? At Granify you can build pipelines that reliably move it all, while finding ways to allow products to access it in a reliable, timely, and scalable fashion. Love tackling the inherent challenges of a fast-paced, evolving tech industry? You'll get a chance to design, build, and improve how we collect, move, and use the massive amounts of data that come into our product, helping take us to the next levels of optimization and transparency.

What You'll Work On
We capture and use lots of data, and different types of data. As a data engineer, you will be involved in making sure we have the best way to utilize this captured data and turn it into actionable knowledge, working closely with our data science, product, and business analysis teams. This knowledge will be used to build machine learning models and feed into our shopper facing products in real time.

We are working on the AWS cloud and our data stack includes technologies like Rack, Redshift, Redis, Spark, and Hadoop (AWS-EMR). We are looking into further adding new components to it as we plan to speed up our analytics and ML training as well as ingest new data types and enable real-time access to it.

As a Senior Data Engineer with Granify you'll:
-Take a role in shaping the architecture and infrastructure decisions and operations that drive our applications as we scale up to a terabytes of data per day and beyond
-Work with the software engineers to come up with the best way to collect, process, and store the terabytes of behavioral web data we absorb
-Build and manage batch and streaming data pipelines that efficiently move data around our ecosystem
-Work with machine learning experts to enable reliable and fast access to data to train machine learning models
-Build tools to extract data from various sources to enrich the data that we collect
-Work with the business analysis team to figure out the data we need in our data warehouse to perform the analysis and create internal and customer facing reports
-Participate in code reviews, sharing knowledge, feedback, and ideas - teaching and learning, it’s a two-way street that leads down the road to improvement (pun intended)

You Are...
-Passionate about finding elegant solutions to complex technical problems
-An advocate for automation and data quality assurance
-Eager to ship often & iterate quickly
-Committed to mastery and craftsmanship in your work
-Curious, constantly looking for better ways to build things and willing to learn about emerging technologies
-Positive and personable - we're all tackling these challenges together!
-Able to communicate with clarity and brevity

Fundamentals:
-Experience with distributed and scalable solutions in the data ecosystem (such as Hadoop, Kafka, Cassandra)
-Understanding of a breadth current data storage technologies (such as Cassandra, Postgres, Redshift, Redis) and best data management practices
Strong SQL experience and experience with ETL methodologies
Strong scripting and programing skills (such as Python, Java, Bash, Ruby, etc.)
-Willing and interested to learn and work with new tools and programming languages
-Source control (Git) and familiarity with unix command line
-Accustomed to working with a dev team in an Agile environment

Bonus Points:
-Hands-on experience with various AWS services
-Knowledge of modern data processing frameworks (such as Spark, Flink, MapReduce)
-Practical experience with building and managing scalable data ingestion systems operating at the scale of hundreds of GBs+ per day
-An interest in machine learning

For more info or to apply directly: granify.bamboohr.com/jobs/view.php?id=12

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