Senior Data Engineer 15003 testHireBound

Experience

9 – 13 Years

 

As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you’re

passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization.

 

Key Responsibilities:

Create and maintain Data Platform pipelines

Create Conceptual, Logical, and Physical data models

Design table structures using DBT and define data pipelines to build performant, reliable, and scalable data solutions in a fast-growing data ecosystem.

Collaborate with other data engineers, data scientists, and cross-functional teams.

Fluency with data engineering concepts and platforms (AWS: S3, Lambda, SNS, SQS…; Iceberg),data platforms (Snowflake), governance (data contracts), transformation and orchestration (dbt, Airflow).

Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team

Collaborate with product managers, architects, and other engineers to drive the success of the

 

Core Data Platform

Document standards and best practices for pipeline configurations, naming conventions, etc.

Ensure high operational efficiency and quality of the Core Data Platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)

Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements

Maintain detailed documentation of your work and changes to support data quality and data governance requirements

 

Qualifications:

5+ years of data engineering experience developing data pipelines

Strong understanding of data modeling principles, including Dimensional modeling and data normalization principles

Proficiency in at least one major programming language (eg, Python)

Expert SQL skills and ability to create queries to analyze complex datasets

Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines

Experience with Snowflake

Strong algorithmic problem-solving expertise

Comfortable working in a fast-paced and highly collaborative environment.

Excellent written and verbal communication

Advance understanding of OLTP vs OLAP environments

Willingness and ability to learn and pick up new skill sets

Self-starting problem solver with an eye for detail and excellent analytical and communication

 

skills

Familiar with Scrum and Agile methodologies

Bachelor’s degree in computer science, Information Systems, or equivalent industry experience