Sr Data Engineer (cod: BX)

We're looking for a highly skilled Senior Data Engineer to spearhead the rethinking and rebuilding of our data architecture. This critical position will focus on real-time data ingestion, change tracking, and normalization from various PIMS (Product Information Management Systems). Given that our data infrastructure directly fuels our Machine Learning initiatives, your understanding and experience in preparing data for ML models will be invaluable. 

Key Responsibilities:

• Design, develop, and optimize scalable data pipelines for real-time ingestion from diverse PIMS.
• Implement robust solutions for data change tracking, ensuring data integrity and consistency.
• Establish and enforce data normalization strategies to prepare high-quality, normalized data specifically for analytical and Machine Learning applications.
• Collaborate with cross-functional teams, including product, engineering, and data science, to understand data needs and deliver effective solutions that support our ML roadmap.
• Evaluate and recommend new technologies and methodologies to enhance our data platform, with an eye towards improving data accessibility and utility for ML.
• Ensure data quality, reliability, and security across all data processes.
• Potentially lead a small team of data engineers, providing technical guidance and mentorship.

Required Skills & Experience:

• Extensive experience as a Data Engineer, with a strong focus on real-time data ingestion and processing.
• Proven expertise in designing and implementing solutions for data change tracking and normalization.
• Proficiency in working with various data sources, particularly from PIMS systems.
• Strong command of SQL and experience with relational and/or NoSQL databases (PostgreSQL, Neo4j).
• Experience with cloud data platforms (Azure Data Factory, Azure Synapse, and especially Databricks).
• Python experience is necessary, as it's a core language for our key ML and other core technologies, and essential for building ML data pipelines.
• Familiarity with Machine Learning data pipelines and the specific requirements for preparing data for ML models.
• Familiarity with data warehousing/data lakes concepts.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Nice to have:

• Experience in a lead data engineer role, including technical leadership and mentorship.
• Hands-on experience with streaming technologies (Kafka, Azure Event Hubs/Stream Analytics) and pub/sub models.
• Familiarity with AI coding assistants (as a general developer productivity tool).
• Experience with data governance and data quality frameworks.
• Knowledge of distributed data processing frameworks.

What We Offer:

• Competitive compensation and benefits package.
• Opportunities for growth and professional development.
• Flexible work arrangements (remote or hybrid).
• Comprehensive leave policies, including PTO, sick leave, and study leave.
• Access to employee discount programs.
• Monthly connectivity allowance.
• Observance of Argentine Holidays.
  
  
  Location: Remote.
  
  
  About Us: At Nybble Group, we are dedicated to transforming businesses with the power of technology. For over 20 years, we have helped clients optimize operations and increase productivity through process automation, smart document processing, and advanced data analytics. We believe in fostering a collaborative and innovative culture where every team member can thrive.