The Associate Analytics Engineer at NexusLeap will work closely with technical teams to build resilient and scalable analytics solutions.
At NexusLeap, we create beautiful dashboards, build optimized data pipelines, and implement bespoke data products that immediately impact our clients. Here's what one of our enterprise clients with over $6B in revenue said about us:
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 with at least 2 years of work experience to join our team. To get a feel for our dynamic, check out what our team hates about working at NexusLeap:
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 are fluent in SQL and Python (2+ years)
- 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 excel at using vectorization techniques for data processing, favoring efficient vector operations over traditional loop structures.
- You have experience optimizing analytics workloads in AWS using services like Glue, Redshift, Athena, and S3 (2+ years)
- 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 built and delivered LLM applications using client datasets
- You have experience creating and supporting dashboards created using tools like PowerBI ,Tableau, or Looker
- 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 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 compensation package
- 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
In the required screening question regarding the number that stands out to you, make sure to answer with: 2024.09
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.