Job Description Shape the Future of Data-Driven Marketing!
Our client, Barrington Media Group, is a high-growth, private equity-backed, tech-enabled marketing agency specializing in direct response advertisements across TV, audio, digital, and direct mail.
With recent acquisitions of leading paid social, search, and SEO firms, our client is expanding its offerings and capabilities, poised to become a powerhouse in the industry.
Their data-driven systems deliver fixed-cost leads, allowing clients to grow their businesses rapidly and with minimal risk.
From creative development to analytics, media strategy to revenue optimization, our client possesses the expertise and knowledge to orchestrate all elements of a successful direct response campaign, ensuring powerful and profitable results.
Having been an industry leader since 2003, Barrington Media is experiencing rapid growth, offering employees unparalleled opportunities to influence the company's direction.
This exponential expansion not only underscores their market leadership but also creates a dynamic and innovative work environment.
Prospective employees will find themselves at the forefront of marketing technology, with the chance to shape impactful campaigns and contribute to a company that is redefining the landscape of direct response advertising.
Job Description As a Data Engineer , you will be responsible for writing and maintaining code for data-driven applications, layered on the company's data infrastructure.
The ideal candidate will have knowledge of Python, SQL, and familiarity with AWS ETL processes.
You will support our client's developers, analysts, and media buy team on data initiatives, ensuring that data architecture is consistent throughout ongoing campaigns and projects.
You must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
Chart Your Course in Marketing Technology Employment Type: Indefinite term type contract Shift: Monday- Friday 7:00 AM- 4:00 PM COL time Work Setup: Work from Home, Bogota/Medellin Salary: 4,000,000 COP – 5,500,000 COP Data Dynamo: Harnessing the Power of Marketing Collect and process raw data at scale, optimizing data pipelines for maximum scalability and reliability.
Play a supportive role in building infrastructure for processing data from various sources, providing a holistic view of company performance and informing next best actions.
Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
Provide support in key data-driven applications and development projects, involving learning the BMG codebase, working on bug fixes, and participating in paired programming with mid-level and senior developers.
Collaborate with stakeholders, including analytics and buying teams, to assist with application-related technical issues and support their data infrastructure needs.
Requirements Tech-Savvy Trailblazers Wanted: Are You Wired for Success?
Strong proficiency in Python and SQL.
Familiarity with AWS technologies, such as S3, EC2, and Lambda.
Understanding of ETL processes and best practices.
Familiarity with Snowflake, database concepts, and data modeling.
Strong attention to detail, project management, and organizational skills.
Strong analytical skills related to working with unstructured datasets.
Ability to manipulate, process, and extract value from large disconnected datasets.
Ability to adapt to new languages, methodologies, and platforms.
Education:Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
Tech Stack: Proficiency in AWS technologies, such as S3, EC2, and Lambda.
Strong proficiency in Python and SQL.
Knowledge of ETL processes.
Familiarity with Snowflake, database concepts, and data modeling.
Additional Information: Preferred Tech Stack: Snowflake.
Azure if it presents a challenge.
Required: Python, SQL, AWS.
Benefits Beyond the Binary: Unlocking Perks in Our Digital Oasis 5 Days work week Work-Items (laptop, mouse, and headset) Indefinite term type contract 5 extra days of vacation leave (20 in total) that could be monetized Direct exposure to our clients Career growth opportunities Diverse and supportive work environment Prime Office Locations - Bogotá and Medellin Up skilling: Emapta Academy Discover Emapta, where your career meets Colombian vibrancy!
Emapta is not just a global outsourcing powerhouse; it's a hub of opportunity infused with the lively spirit of Colombia.
Joining us means becoming part of a community that values the unique cultural mosaic of our country.
With a proven track record and an array of international clients, Emapta provides a robust platform for your professional journey without the need for you to hop into a plane and work abroad.
At Emapta, we go beyond being a workplace; we're a community that treasures the harmony between professional and personal life.
Emapta is a cultural melting pot that fosters innovation, collaboration, and continuous learning.
Immerse yourself in our dynamic culture and contribute to an organization that puts employee well-being at the forefront.
We look forward to welcoming you to the Emapta family in Colombia.
#EmaptaExperience Requirements Tech-Savvy Trailblazers Wanted: Are You Wired for Success?
Strong proficiency in Python and SQL.
Familiarity with AWS technologies, such as S3, EC2, and Lambda.
Understanding of ETL processes and best practices.
Familiarity with Snowflake, database concepts, and data modeling.
Strong attention to detail, project management, and organizational skills.
Strong analytical skills related to working with unstructured datasets.
Ability to manipulate, process, and extract value from large disconnected datasets.
Ability to adapt to new languages, methodologies, and platforms.
Education:Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
Tech Stack: Proficiency in AWS technologies, such as S3, EC2, and Lambda.
Strong proficiency in Python and SQL.
Knowledge of ETL processes.
Familiarity with Snowflake, database concepts, and data modeling.
Additional Information: Preferred Tech Stack: Snowflake.
Azure if it presents a challenge.
Required: Python, SQL, AWS.
