At Blend360, we are a world-class marketing, analytics, and technology company that delivers exceptional results for our clients. Our primary focus is Data Sciences; leveraging data and applied mathematics to solve our clients' business challenges. 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. The ideal candidate will be responsible for architecting and optimizing scalable data solutions that enable analytics, data science, and business intelligence across the organization. - 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. We offer flexible working options, all the equipment you need to harness your talent, and learning opportunities, including AWS Certifications and English Lessons. Mentoring and Development opportunities are available to shape your career path, and we celebrate our teammates' anniversaries and birthdays with great perks!