Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a to contribute to our next level of growth and expansion.
Job DescriptionYou will be a key member of our Data Engineering team, focused on designing, developing, and maintaining robust data solutions on on-prem environments. You will work closely with internal teams and client stakeholders to build and optimize data pipelines and analytical tools using Python, Scala, SQL, Spark and Hadoop ecosystem technologies. This role requires deep hands-on experience with big data technologies in traditional data centre environments (non-cloud).
What you’ll be doing
Design, build, and maintain on-prem data pipelines to ingest, process, and transform large volumes of data from multiple sources into data warehouses and data lakes
Develop and optimize Scala-Spark and SQL jobs for high-performance batch and real-time data processing
Ensure the scalability, reliability, and performance of data infrastructure in an on-prem setup
Collaborate with data scientists, analysts, and business teams to translate their data requirements into technical solutions
Troubleshoot and resolve issues in data pipelines and data processing workflows
Monitor, tune, and improve Hadoop clusters and data jobs for cost and resource efficiency
Stay current with on-prem big data technology trends and suggest enhancements to improve data engineering capabilities
Bachelor's degree in software engineering, or a related field
5+ years of experience in data engineering or a related domain
Strong programming skills in Python or Scala
Expertise in SQL with a solid understanding of data warehousing concepts
Hands-on experience with Hadoop ecosystem components (e.g., HDFS, Hive, Apache Hudi, Iceberg and Delta Lake)
Proven ability to design and manage data solutions in on-prem environments (no cloud dependency)
3rd party data integrations from different sources (including APIs)
Proficiency in Airflow or similar orchestration tool
Strong problem-solving skills with an ability to work independently and collaboratively
Excellent communication skills and ability to engage with technical and non-technical stakeholders
Good to have qualifications
Master’s degree in data science or related field
Knowledge on google and Fb api's and accessing S3 and SFTP buckets
Prompt engineering with basic GenAI understanding
What about languages?
You will need excellent written and verbal English for clear and effective communication with the team.
Additional InformationOur Perks and Benefits:
📚 Learning Opportunities:
Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
👩🏫 Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support:
Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
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What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
