Senior Data Engineer

Company Description

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 Description

You 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 

Qualifications

• 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 Information

Our 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.