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Crosschq

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Senior Data Engineer

Status: open for applications
We’re building a culture that brings out the best in each of us. At Crosschq we hire talented people and trust them to do great work. Are diverse in so many ways but unified in our mission. Pay obsessive attention to our customers. Use our personal time to help the underdog.
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The team at Crosschq

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About the role

At Crosschq, we are dedicated to helping companies build diverse and winning teams. We provide HR leaders with data-driven insights and technical support to optimize hiring processes and enhance hiring quality. Our goal is to help companies to achieve happier employees, improved productivity, and a stronger culture with greater diversity and retention.

We are very pleased to continue growing and adding talent to our teams. Among these talents, we are looking for a Senior Data Engineer to play a critical role in designing, building, and maintaining scalable data pipelines and infrastructure to support our BI and data science and machine learning initiatives. You will work closely with data scientists and other stakeholders to ensure efficient data workflows and model deployment processes.


Valuable background and abilities:

Communication Skills: Strong communication skills, with the ability to work effectively with cross-functional teams and convey technical concepts to non-technical stakeholders.

Team Player: Ability to work collaboratively in a team environment and manage multiple priorities in a fast-paced setting.

 

About the project/role:

Data Pipeline Development: Design, develop, and maintain robust data pipelines to ingest, process, and store large volumes of structured and unstructured data from various sources.

ETL Processes: Design, implement, and manage ETL processes to ensure data is efficiently moved and transformed for analysis and reporting.

Data Infrastructure: Build and optimize scalable data infrastructure, ensuring data integrity, quality, and availability for analytics and machine learning applications.

Creation of Visualizations: Develop and maintain high-quality visualizations to represent data insights effectively, aiding in strategic decision-making.

Collaboration: Work closely with data scientists and machine learning engineers to understand data requirements, provide necessary support, and ensure seamless integration of models into the production environment.

Automation: Automate data workflows and model deployment processes to improve efficiency and reduce operational overhead.

Monitoring and Troubleshooting: Monitor data pipelines and model performance in production, troubleshoot issues, and implement solutions to ensure reliability and scalability.

  

Required experience and skills: 

Programming Languages:

● Proficiency in Python

● Proficiency in SQL.

Database Technologies:

● Expertise in relational database technologies, specifically Postgres.

Software Development and Best Practices:

● Strong understanding of software development principles and best practices, including version control, testing, and continuous integration/continuous deployment (CI/CD).


Beneficial experience and skills to have:

Database Technologies:

● Experience with NoSQL databases (MongoDB, Neo4j) is a plus.

Cloud Platform & Data Warehousing:

● Experience with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP) is a plus

● Knowledge of data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake is a plus.

Data Processing Framework:

● Strong experience with data processing frameworks such as Apache Spark, Hadoop, or similar is a plus.

Seniority and years of experience

Senior with minimum of 5 years of experience in data engineering or a related field, with a focus on building and maintaining data pipelines and infrastructure.

 

Studies/ Degree:

Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related field.


English Level

Advanced.

 

Type of work:

This is 100% remote work but based in Argentina.

 

Our Team:

You will be reporting to the Data Lead.

 

Holidays:

You will observe the public holidays in Argentina.

 

Vacations:

You will be able to take unlimited days, at your discretion.

 

Technology and Equipment:

We provide annual USD 750 to purchase work equipment.

 

Hiring process: 

● Talk with Oriana, Connector at Pitcheers 

● Technical screen

● Challenge at home

● Technical interview

● Final interview

 

Recommendation:

We know that the process of looking for a job can be stressful. Pitcheers is here to support you and make this journey enjoyable.

There are a few ways we can help you:

Talking with us: Book a free chat with our connectors to introduce yourself and clarify doubts you may have. 

Watching our YouTube channel, you'll find practical tips, interviews with experts, and real experiences from professionals in various technology roles. Join our community! https://www.youtube.com/@Pitcheers/videos 

Reading and following The Six-Steps Cycle. That you can download in https://www.santilg.com/

(Disponible también en español)


We are here to help you grow and achieve your goals.

 


Salary range:Contact our connectors to know more
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How to apply

  • Book a call with one of our connectors
  • Clear all your doubts about the role and tell them about yourself
  • Get help applying
This is not an interview to evaluate you. It's a conversation to get to know you and tell you more about the role.
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