Senior Data Engineer – ETL/ELT Pipeline Development & Cloud Data Architecture
Join arenaflex as a Senior Data Engineer
Are you ready to be part of a transformative journey in data engineering? At arenaflex, we believe that data is the backbone of innovation, and we're looking for a talented Senior Data Engineer to help us build scalable, efficient, and robust data infrastructure that powers our creative and technological endeavors.
As a Senior Data Engineer at arenaflex, you will play a pivotal role in designing and implementing data pipelines that process massive volumes of information, enabling data-driven decision-making across our organization. You'll work alongside talented professionals in a collaborative environment that values innovation, technical excellence, and continuous learning. This is an exciting opportunity to make a significant impact while growing your career in one of the most dynamic industries in the world.
What You'll Do
As a Senior Data Engineer within our Information Design group, you will be responsible for planning and executing complex ETL/ELT data pipelines that form the foundation of our data ecosystem. Your technical expertise will be crucial in designing and implementing database mappings, tables, and views that support our various business units and creative teams.
Key Responsibilities
Design, develop, and maintain robust ETL/ELT data pipelines using modern data engineering tools and frameworks
Create and implement database schemas, tables, views, and relationships that support efficient data storage and retrieval
Build batch processing workflows using Apache Airflow to automate data movement and transformation processes
Collaborate with Studios and Project Technology teams to gather data requirements and ensure data quality standards are met
Develop data validation scripts and perform thorough reviews to ensure data integrity across all pipelines
Deploy and manage solutions across multiple environments including Development, QA/UAT, and Production
Work with cloud-based technologies including AWS S3, Snowflake, and PostgreSQL to build scalable data solutions
Utilize Python and SQL for data transformation, analysis, and pipeline development
Implement containerization using Docker for consistent deployment across environments
Version control code and configurations using Gitlab to maintain code quality and collaboration
Create and maintain data visualizations using Looker to provide actionable insights to stakeholders
Mentor junior team members and drive best practices in data engineering methodologies
Participate in code reviews and contribute to improving our data engineering development processes
What We're Looking For
We're seeking a professional with a strong foundation in data engineering principles and hands-on experience with modern data platforms. The ideal candidate will have a passion for solving complex data challenges and the ability to work effectively in a fast-paced, collaborative environment.
Essential Qualifications
Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
Minimum 3 years of experience in a Data Engineering role
2+ years of experience with SQL for data manipulation and database design
2+ years of experience designing, building, and maintaining ETL/ELT data pipelines
2+ years of experience with cloud-based technologies, preferably AWS and S3
2+ years of experience managing cloud platforms
2+ years of experience working with data lakes, data warehouses, and application databases
2+ years of experience designing and building relational databases
Proficiency in Python for data processing and automation
Experience with Gitlab/Github for version control
Experience with Docker for containerization
Strong understanding of data modeling concepts and best practices
Preferred Qualifications
Master's degree in Computer Science, Mathematics, Engineering, or a related field
Experience with Apache Airflow for workflow orchestration
Experience with Snowflake for cloud data warehousing
Experience with Databricks for big data processing
Experience with Looker for business intelligence and visualization
Experience working in streaming, media, or digital advertising domains
Knowledge of real-time data processing frameworks
Familiarity with Agile methodologies and DevOps practices
Technical Skills Required
Programming Languages: Python, SQL
Cloud Platforms: AWS (S3, EC2, Lambda), cloud-based data solutions
Databases: PostgreSQL, MySQL, Snowflake, relational database design
Data Engineering Tools: Apache Airflow, ETL/ELT pipelines, data modeling
Version Control: Gitlab, Github
Containerization: Docker
Data Visualization: Looker
Big Data Technologies: Data lakes, data warehouses, Spark/Databricks
Why Join arenaflex?
At arenaflex, we recognize that our employees are our greatest asset. We are committed to providing an environment where you can thrive professionally and personally. Here's what makes arenaflex an exceptional place to build your career:
Career Growth and Learning Opportunities
We invest heavily in the professional development of our team members. As a Senior Data Engineer at arenaflex, you'll have access to cutting-edge technologies and the opportunity to work on challenging projects that push the boundaries of data engineering. We encourage continuous learning through training programs, certifications, and attendance at industry conferences. Our mentorship program pairs you with experienced leaders who will help guide your career path and technical growth.
Collaborative Work Environment
You'll be part of a dynamic team that values collaboration, innovation, and diverse perspectives. Our cross-functional teams work together to solve complex problems and deliver impactful solutions. We foster a culture of open communication where everyone's voice is heard and valued. You'll have the opportunity to collaborate with talented professionals from various backgrounds, including data scientists, software engineers, product managers, and business stakeholders.
Competitive Compensation and Benefits
We offer a competitive salary of $28 per hour for this full-time position, along with a comprehensive benefits package that includes health insurance, retirement plans, paid time off, and various employee perks. We believe in recognizing and rewarding exceptional performance, which is why we offer performance bonuses and opportunities for career advancement.
Work-Life Balance
We understand the importance of maintaining a healthy work-life balance. Our flexible work arrangements allow you to manage your professional and personal commitments effectively. You'll work 8 hours per day in a supportive environment that respects your time and well-being.
Innovation and Impact
At arenaflex, you'll be at the forefront of data innovation. Your work will directly impact our ability to deliver exceptional experiences to our customers and stakeholders. You'll have the opportunity to work on projects that leverage the latest technologies and methodologies in data engineering, contributing to solutions that shape the future of our industry.
Our Culture and Values
arenaflex is built on a foundation of integrity, creativity, and excellence. We believe in fostering an inclusive workplace where diversity is celebrated and every team member can succeed. Our commitment to diversity and inclusion ensures that different perspectives and ideas are embraced, leading to more innovative solutions.
We encourage creativity and out-of-the-box thinking. As part of our team, you'll be empowered to propose new ideas, experiment with new technologies, and challenge the status quo. We value continuous improvement and are always looking for ways to enhance our processes, tools, and methodologies.
Ready to Make an Impact?
If you're passionate about data engineering and want to be part of a team that's transforming the way organizations leverage data, we encourage you to apply for this exciting opportunity. At arenaflex, you'll find more than just a job – you'll find a career where you can grow, innovate, and make a meaningful difference.
We are looking for a dedicated professional who is ready to take on challenging problems, collaborate with talented colleagues, and contribute to our mission of delivering exceptional data solutions. Join us and become part of a team that's shaping the future of data engineering.
Apply now to become a Senior Data Engineer at arenaflex and embark on a rewarding career journey with endless possibilities for growth and success!
Are you ready to be part of a transformative journey in data engineering? At arenaflex, we believe that data is the backbone of innovation, and we're looking for a talented Senior Data Engineer to help us build scalable, efficient, and robust data infrastructure that powers our creative and technological endeavors.
As a Senior Data Engineer at arenaflex, you will play a pivotal role in designing and implementing data pipelines that process massive volumes of information, enabling data-driven decision-making across our organization. You'll work alongside talented professionals in a collaborative environment that values innovation, technical excellence, and continuous learning. This is an exciting opportunity to make a significant impact while growing your career in one of the most dynamic industries in the world.
What You'll Do
As a Senior Data Engineer within our Information Design group, you will be responsible for planning and executing complex ETL/ELT data pipelines that form the foundation of our data ecosystem. Your technical expertise will be crucial in designing and implementing database mappings, tables, and views that support our various business units and creative teams.
Key Responsibilities
Design, develop, and maintain robust ETL/ELT data pipelines using modern data engineering tools and frameworks
Create and implement database schemas, tables, views, and relationships that support efficient data storage and retrieval
Build batch processing workflows using Apache Airflow to automate data movement and transformation processes
Collaborate with Studios and Project Technology teams to gather data requirements and ensure data quality standards are met
Develop data validation scripts and perform thorough reviews to ensure data integrity across all pipelines
Deploy and manage solutions across multiple environments including Development, QA/UAT, and Production
Work with cloud-based technologies including AWS S3, Snowflake, and PostgreSQL to build scalable data solutions
Utilize Python and SQL for data transformation, analysis, and pipeline development
Implement containerization using Docker for consistent deployment across environments
Version control code and configurations using Gitlab to maintain code quality and collaboration
Create and maintain data visualizations using Looker to provide actionable insights to stakeholders
Mentor junior team members and drive best practices in data engineering methodologies
Participate in code reviews and contribute to improving our data engineering development processes
What We're Looking For
We're seeking a professional with a strong foundation in data engineering principles and hands-on experience with modern data platforms. The ideal candidate will have a passion for solving complex data challenges and the ability to work effectively in a fast-paced, collaborative environment.
Essential Qualifications
Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field
Minimum 3 years of experience in a Data Engineering role
2+ years of experience with SQL for data manipulation and database design
2+ years of experience designing, building, and maintaining ETL/ELT data pipelines
2+ years of experience with cloud-based technologies, preferably AWS and S3
2+ years of experience managing cloud platforms
2+ years of experience working with data lakes, data warehouses, and application databases
2+ years of experience designing and building relational databases
Proficiency in Python for data processing and automation
Experience with Gitlab/Github for version control
Experience with Docker for containerization
Strong understanding of data modeling concepts and best practices
Preferred Qualifications
Master's degree in Computer Science, Mathematics, Engineering, or a related field
Experience with Apache Airflow for workflow orchestration
Experience with Snowflake for cloud data warehousing
Experience with Databricks for big data processing
Experience with Looker for business intelligence and visualization
Experience working in streaming, media, or digital advertising domains
Knowledge of real-time data processing frameworks
Familiarity with Agile methodologies and DevOps practices
Technical Skills Required
Programming Languages: Python, SQL
Cloud Platforms: AWS (S3, EC2, Lambda), cloud-based data solutions
Databases: PostgreSQL, MySQL, Snowflake, relational database design
Data Engineering Tools: Apache Airflow, ETL/ELT pipelines, data modeling
Version Control: Gitlab, Github
Containerization: Docker
Data Visualization: Looker
Big Data Technologies: Data lakes, data warehouses, Spark/Databricks
Why Join arenaflex?
At arenaflex, we recognize that our employees are our greatest asset. We are committed to providing an environment where you can thrive professionally and personally. Here's what makes arenaflex an exceptional place to build your career:
Career Growth and Learning Opportunities
We invest heavily in the professional development of our team members. As a Senior Data Engineer at arenaflex, you'll have access to cutting-edge technologies and the opportunity to work on challenging projects that push the boundaries of data engineering. We encourage continuous learning through training programs, certifications, and attendance at industry conferences. Our mentorship program pairs you with experienced leaders who will help guide your career path and technical growth.
Collaborative Work Environment
You'll be part of a dynamic team that values collaboration, innovation, and diverse perspectives. Our cross-functional teams work together to solve complex problems and deliver impactful solutions. We foster a culture of open communication where everyone's voice is heard and valued. You'll have the opportunity to collaborate with talented professionals from various backgrounds, including data scientists, software engineers, product managers, and business stakeholders.
Competitive Compensation and Benefits
We offer a competitive salary of $28 per hour for this full-time position, along with a comprehensive benefits package that includes health insurance, retirement plans, paid time off, and various employee perks. We believe in recognizing and rewarding exceptional performance, which is why we offer performance bonuses and opportunities for career advancement.
Work-Life Balance
We understand the importance of maintaining a healthy work-life balance. Our flexible work arrangements allow you to manage your professional and personal commitments effectively. You'll work 8 hours per day in a supportive environment that respects your time and well-being.
Innovation and Impact
At arenaflex, you'll be at the forefront of data innovation. Your work will directly impact our ability to deliver exceptional experiences to our customers and stakeholders. You'll have the opportunity to work on projects that leverage the latest technologies and methodologies in data engineering, contributing to solutions that shape the future of our industry.
Our Culture and Values
arenaflex is built on a foundation of integrity, creativity, and excellence. We believe in fostering an inclusive workplace where diversity is celebrated and every team member can succeed. Our commitment to diversity and inclusion ensures that different perspectives and ideas are embraced, leading to more innovative solutions.
We encourage creativity and out-of-the-box thinking. As part of our team, you'll be empowered to propose new ideas, experiment with new technologies, and challenge the status quo. We value continuous improvement and are always looking for ways to enhance our processes, tools, and methodologies.
Ready to Make an Impact?
If you're passionate about data engineering and want to be part of a team that's transforming the way organizations leverage data, we encourage you to apply for this exciting opportunity. At arenaflex, you'll find more than just a job – you'll find a career where you can grow, innovate, and make a meaningful difference.
We are looking for a dedicated professional who is ready to take on challenging problems, collaborate with talented colleagues, and contribute to our mission of delivering exceptional data solutions. Join us and become part of a team that's shaping the future of data engineering.
Apply now to become a Senior Data Engineer at arenaflex and embark on a rewarding career journey with endless possibilities for growth and success!