Data Engineer Analyst

What is this position about? Design, build, and maintain scalable data pipelines and ingestion frameworks supporting batch processing, streaming, and change data capture (CDC) patterns.

About Blend360

• Our team is eager to learn about you!
• 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 Data Engineer Analyst to contribute to our next level of growth and expansion.

Responsibilities

• Develop and optimize data processing workflows using Apache Spark and PySpark, ensuring reliable and performant transformation across large datasets.
• Implement and manage data lake architectures on AWS, leveraging S3 as the primary storage layer and Apache Iceberg for table format management, schema evolution, and time-travel capabilities.
• Work with AWS-native services including Glue for ETL orchestration, Athena for serverless querying, and Lambda for event-driven data processing.
• Manage data access controls and security configurations using AWS IAM, ensuring compliant and least-privilege access across the data platform.
• Collaborate with data analysts, data scientists, and platform engineers to understand data requirements and deliver production-ready solutions.
• Monitor pipeline health, troubleshoot data quality issues, and implement improvements to ensure data reliability and freshness.
• Contribute to the documentation of data flows, architecture decisions, and engineering standards within the team.

Requirements

• Advanced hands-on experience with AWS services, including: AWS Glue Amazon S3 Amazon Athena AWS IAM Apache Spark / PySpark for data processing.
• Data lake architectures, ideally with knowledge of Apache Iceberg.
• Data ingestion patterns, including batch processing, streaming, and CDC patterns
• Experience with SQL for data querying, validation, and exploratory analysis
• Solid understanding of data modeling and large-scale data processing
• Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly to non-technical stakeholders.
• Familiarity with AI-assisted development workflows and engineering productivity tools What about languages?
• Advanced (required for effective communication with global teams) How much experience must I have?
• 2+ years of experience in Data Engineering or related roles, with hands-on work building and maintaining cloud-based data pipelines and lake architectures on AWS.

Preferred

• Experience with infrastructure-as-code or pipeline orchestration tools (e.g., Airflow, Step Functions, dbt) is a plus.

Benefits

• 🍽️ Every day lunches! (headquarters): Vegetarian, vegan, gluten and sugar free options.
• Gourmet meals every Friday with our on-site 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. 🎮 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?

• Send us your resume or LinkedIn profile below and we’ll explore working together!
• 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.