- Experience Required: 8 - 14 years working Days, 5 days/week
- Design, architect, and develop code in a testable, scalable, and performant manner
- Work closely with Product Managers, Cross Product Engineers, and Data Engineers to optimize and deliver innovative solutions
- Build a team that mines, analyzes, and transforms large datasets, collaborating with analysts, data scientists, and business users to create actionable metrics and datasets that solve business questions
- Develop a plan and schedule with well-defined milestones
- Dig in alongside the team in a challenging scenario or to solve a critical issue
- Manage and facilitate technical design discussions, contribute significant verbal and written contributions, and help your team overcome hurdles
- Work with the team to develop automated testing protocols and deploy tests with every release
- Utilize an agile approach to process and structure
- Foster a healthy and collaborative culture that embodies team values
- Provide expertise in query building and data modeling to ensure data is available in a timely, efficient, and comprehensible manner
- Partner with other teams to ensure documentation, privacy, and best-in-class coding practices are implemented within Analytical engineering
- Act as SME for specific data domains by enabling analytical data sets for internal ad-hoc analysis - Engage with key stakeholders in the business, product, and software teams to understand and scope analytical requests
- Enable the team to expand its impact by improving delivery mechanisms and working closely with the data, product, and growth organizations to increase the value brought to customers
- At least 8 years of software design and development experience with a background in Data Engineering
- BE or equivalent degree in Computer Science or a related field
- Deep understanding of data modeling, SQL, data warehouses/data lake, and data engineering skills
- Ability to provide technical leadership throughout the design and delivery process, bringing perspective and motivating engineers to develop simple, pragmatic solutions to complex problems
- Knowledge of software and data engineering best practices including testing, quality, and security
- Passion for developing early career talent who will become the next leaders in the organization, enabling individuals and the team to work autonomously
- Extensive background and demonstrated track record in building end-user-facing analytical models in SQL
- Hands-on SQL experience in aspects of data engineering and operations, including data ingestion, delivery, and operations
- Help define the strategy and standards for analytical engineering
- Experience defining testing and data quality programs
- Expertise in query building and data modeling to ensure data is available in a timely, efficient, and comprehensible manner
- Experience with tools such as Python, Airflow, Data Lakes, Terraform, APM tooling, and BI tooling (e.g Tableau, PowerBI)
- Develop/source tools and processes to improve software engineering productivity
- Strong Python experience, REST APIs, MySQL
- Strong, proven mentorship skills; demonstrate the ability to motivate, develop, and guide Data Engineers
- Ability to communicate with both technical and non-technical audiences
- Experience with AWS and Snowflake is required
- Recruiting industry experience, such as working with Taleo, Workday, SuccessFactors, is a plus
- Excellent communication skills
- Competitive salary
- Medical/Dental/Vision/Life Insurance benefits
- PTO - including Volunteer Time Off
- Paid Holidays
- An experience you will cherish forever
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Description
Senior / Staff Engineer Data Engineering
Office Location: Remote Working
Role & Responsibilities:
Ideal Candidate:
Perks, Benefits, and Work Culture: