Company Description
Blend360 is a world class marketing, analytics, and technology company that delivers the best results for our clients. Our primary focus is Data Sciences; leveraging data and applied mathematics to solve our clients’ business challenges. Blend360 is known for our exceptional people, our get-it-done mentality, and delivering high impact and sustainable results. If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360.
Job Description
We are seeking a seasoned Data Engineering Manager with 8+ years of experience to lead and grow our data engineering capabilities. This role demands strong hands-on expertise in Python, SQL, Spark, and advanced proficiency in AWS and Databricks. As a technical leader, you will be responsible for architecting and optimizing scalable data solutions that enable analytics, data science, and business intelligence across the organization.
Key Responsibilities:
- Lead the design, development, and optimization of scalable and secure data pipelines using AWS services such as Glue, S3, Lambda, EMR, and Databricks Notebooks, Jobs, and Workflows.
- Oversee the development and maintenance of data lakes on AWS Databricks, ensuring performance and scalability.
- Build and manage robust ETL/ELT workflows using Python and SQL, handling both structured and semi-structured data.
- Implement distributed data processing solutions using Apache Spark/PySpark for large-scale data transformation.
- Collaborate with cross-functional teams including data scientists, analysts, and product managers to ensure data is accurate, accessible, and well-structured.
- Enforce best practices for data quality, governance, security, and compliance across the entire data ecosystem.
- Monitor system performance, troubleshoot issues, and drive continuous improvements in data infrastructure.
- Conduct code reviews, define coding standards, and promote engineering excellence across the team.
- Mentor and guide junior data engineers, fostering a culture of technical growth and innovation.
Qualifications
Requirements
- 8+ years of experience in data engineering with proven leadership in managing data projects and teams.
- Expertise in Python, SQL, Spark (PySpark), and experience with AWS and Databricks in production environments.
- Strong understanding of modern data architecture, distributed systems, and cloud-native solutions.
- Excellent problem-solving, communication, and collaboration skills.
- Prior experience mentoring team members and contributing to strategic technical decisions is highly desirable.
Additional Information
Our perks and benefits:
⚖️ Flexible working options to help you strike the right balance.
👨🏽💻 All the equipment you need to harness your talent (Macbook and accessories).
🎮After office events, football, tennis and game nights (headquarters).
📚 Learning opportunities:
AWS Certifications (we are AWS Partners).
Study plans, courses and other certifications.
English Lessons.
👩🏫 Mentoring and Development opportunities to shape your career path.
🎁 Anniversary and birthday Perks
🏡 Great location and even greater teammates!
