Position: Analytics Engineer
Company: airSlate (pdfFiller)
Experience required: 2y
English level: intermediate

**airSlate welcomes a talented Analytics Engineer, a professional who will join our Data Engineering team.
The current team is working on building the data platform. The data platform consists of a lot of services as data catalog, data acquisition, data presentation, data pipeline and etc. Each component is responsible for own functionality. Our main goal is to improve the data decision-making paradigm in the company using the data platform as key way to it. We use the following stack to build the data platform: Python, Scala, Terraform, AWS(EMR - Yarn, DMS, Redshift, S3, Glue, QuickSight, MWAA - Apache Airflow, MSK -Apache Kafka), Apache Zeppelin, Apache Spark, Pandas.**
 
**You will get experience working with:**
Collaboration with team members to collect business requirements, define successful analytics outcomes, and design data models
Build trust in all interactions regarding the data.
Build reusable data models that get pulled into subsequent models and analysis. (Change a model once and that change will propagate to all its dependencies.)
Create and maintain architecture and systems documentation 
Maintaining the data catalog, data lineage
Developing Single-source-of-truth analytics
Document plans and results in either issue, MRs
Implement the Data Ops philosophy in everything you do
Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review.

**Must haves:**
Git
Python, Pandas, Jupyter 
SQL: Writing complex SELECT queries, aggregation functions + grouping, different types of JOIN, window functions, etc.
BI tool (QuickSight, DataStudio, PowerBI)
Data Modeling
Excellent communication: Regularly achieve consensus amongst technical and business teams
Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations
Experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people
Understanding the basics of product analytics and SaaS product metrics (LTV, retention, conversion, etc);

**Nice to haves:**
Dimensional modeling
Apache Airflow
AWS (EMR, Redshift, DMS, Glue, S3)
Data Ops philosophy
Grafana
Experience with Data Catalog, Data lineage

**What we offer:**
Flexible work environment
We have embraced flexibility in the workspace. You can choose to work from the office, remotely, or hybrid.

Professional growth opportunities
We love learning! For every team member, we cover professional development courses, conferences, literature, and English classes with native speakers so you can improve your skills or learn something new.

Health and wellness 
Health is not only about going to the doctor. We offer every employee sports options, access to the office’s massage room, free lunch, and healthy in-office snacks to keep you energized. 

Compensation and benefits
Our team members receive performance bonuses for their achievements, time, and effort. They also receive stock options, meaning they benefit when our company grows.

Open communication with top management
At airSlate, we encourage every employee to share their thoughts, ideas, or concerns with our management team. If you wish, you can talk to our CEO, senior management, or team leads at any time.

airSlate Junior Club 
We love our extended families! All team members with children get access to kid’s club events that include cooking classes, creative activities, and educational online games.

airSlate Care
Our charitable program includes technology donations to schools, delivering food packages and meals to the elderly, and volunteering at animal shelters. We also match donations made by our team members.