The Analytics Engineer at NexusLeap will lead technical tasks and collaborate with teams to develop robust and scalable analytics solutions, ensuring optimal performance and reliability.

At NexusLeap, we set up cloud infrastructure, automate data pipelines, and implement custom data products that immediately impact our clients. Here's what one of our enterprise clients with over $6B in revenue said about us: https://www.linkedin.com/posts/madhavsrinath_kehe-foodandbeverage-analytics-activity-7138200557227311105-aRcM

For AI to work, there must be an immense amount of source data that is also accurate, complete, and connective. Therefore, we start by creating end-user tools like dashboards, then move on to pipelining the underlying data powering these data products, and ultimately collaborate on prescriptive solutions that can utilize this data repository.

This compounding building-block approach ensures that we are constantly aligning with our client's business goals and enhancing their decision-making at every iteration. At the finish line, the entire organization would have navigated the data maturity cycle and will be ready to utilize AI to its full potential.

We are looking for a hardworking, resourceful, and creative engineer to join our team. To get a feel for our dynamic, check out what our team hates about working at NexusLeap: https://www.linkedin.com/posts/madhavsrinath_analytics-companyculture-startup-activity-7087099654437285888-DmM-

The person in this role will be responsible for:

Using Python and SQL to build complex ETL pipelines
Working alongside architects and engineers to build and integrate analytics functionality
Deploying and modifying AWS resources using Infrastructure as Code (IaC)

You meet the required qualifications if:

You have an innate curiosity for tinkering with data products and recognize the importance of data storytelling.
You have significant experience optimizing analytics workloads in AWS using services like Glue, Redshift, Athena, and S3
You are fluent in SQL and Python.
You can easily navigate large datasets (1B+ rows) and have a good handle on distributed computing (PySpark).
You have a strong command in data manipulation and analysis using dataframes, demonstrated through complex data operations, optimization, and efficient handling of large-scale datasets.
You have some experience with workflow tools like Microsoft SSIS or Apache Airflow.
You have collaborated with a development team with established source control (git).
You hold a BS and/or MS degree from an accredited university in one of the following: Computer Science, Information Systems, Operations Research, Mathematics, Statistics, or related technical field.

You would be a great fit if:

You are extremely articulate and concise
You have more than one associate level certification in AWS
You have experience creating and supporting dashboards created using tools like PowerBI or Tableau
You enjoy working at startups and smaller companies but still look for some structure in your day-to-day
You take initiative
You think AI & machine learning is pretty neat
You have experience implementing machine learning tools in a production environment

Why join NexusLeap?

We operate with these core values: integrity, dependability, curiosity, and grit
We offer a generous salary and benefits package (Medical, Dental, Vision, HSA, 401(k) match)
We use a recognition and rewards platform to show our appreciation to our high performing team of data experts and dog lovers
We sponsor donations to multiple charities picked by our team
We meet up during monthly co-working days with provided lunches
We have quarterly team activities and a yearly retreat
We offer professional development options every year

NexusLeap is an Equal Employment Opportunity employer that proudly strives for a diverse workforce. NexusLeap does not make employment decisions based on race, color, religion, or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy.

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Analytics Engineer