Data Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Studies in Computer Science, Engineering, or related fields, or equivalent experience., Hands-on experience with Python and SQL in data engineering., Experience with cloud technologies., Good communication skills in English..

Key responsibilities:

  • Build and optimize scalable data pipelines using Python.
  • Write efficient SQL for data transformation and extraction.
  • Implement testing and validation to ensure data integrity.
  • Support automation, monitoring, and security of data workflows.

Blend360 logo
Blend360 Professional Services Scaleup https://www.blend360.com/
501 - 1000 Employees
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Job description

Company Description

Are you looking for an opportunity to jumpstart your career in a thriving tech industry? Join us at Blend grow our business and execute our mission to help organizations leverage data and technology to make better decisions. With over 10 years of experience in the field of big data, top US customers such as Mastercard, Tripadvisor, and Roku choose us to develop innovative products.

What is this position about?

As a Data Engineer, you will focus on building and optimizing scalable data pipelines that power analytics and datadriven decisionmaking. You’ll work primarily with Python, SQL, Snowflake, to process large volumes of data efficiently and reliably. This role is ideal for someone who enjoys scripting, testing, and finetuning performance while collaborating with crossfunctional teams.

Job Description
  • Design, develop, and maintain scalable data pipelines using Python.

      • Write efficient SQL for data transformation, aggregation, and extraction across large datasets.

          • Implement unit tests and validation checks to maintain data integrity across workflows.

              • Implement robust automation, monitoring, and securityaccess controls to ensure data reliability and compliance

              • Support Hightouch integrations and develop audience modeling logic to enable advanced datadriven insights.

              • Participate in code reviews, design discussions, and architecture decisions.

                • Qualifications
                  • Studies in Computer Science, Engineering, or a related field, or equivalent experience.

                      • Handson experience with Python and SQL in a data engineering context.

                      • Comfortable writing and maintaining unit tests for data pipelines.

                          • Experience working with cloud technologies.

                            • What about languages?

                              You will need excellent written and verbal English for clear and effective communication with the team.

                              Additional Information

                              Our perks and benefits:

                              🍔Every day lunches! (headquarters)

                              • Vegetarian, vegan, gluten and sugar free options.

                                  • Gourmet meals every Friday with our onsite chef!

                                    • ⚖️ Flexible working options to help you strike the right balance.

                                      👨🏽‍💻 All the equipment you need to harness your talent (Macbook and accessories).

                                      ☕Snacks and beverages available everyday (headquarters).

                                      🎮After office events, football, tennis and game nights (headquarters).

                                      • Everyone is welcome to join our football league every Wednesday’s and Friday’s.

                                          • Challenge your teammates to a pool game and win the office’s trophy!

                                              • Tennis courts available for friendly matches.

                                                  • You are not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!

                                                    • 📚 Learning opportunities:

                                                      • AWS Certifications (we are AWS Partners).

                                                          • Study plans, courses and other certifications.

                                                              • English Lessons.

                                                                  • Learn from your teammates on our Tech Tuesdays!

                                                                    • 👩‍🏫 Mentoring and Development opportunities to shape your career path.

                                                                      🎁 Anniversary and birthday gifts.

                                                                      🏡 Great location and even greater teammates!

                                                                      So what are the next steps?

                                                                      Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Professional Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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