Senior Data Engineer

ImagineX is a Software Company whose goal is to help our clients transform their businesses by embracing emerging technologies such as Cloud, Cybersecurity, and Mobile. Through the use of our experimentation techniques and modern delivery methods, we assist our clients in driving higher quality solutions to market faster.

We're looking for a Senior Data Engineer to join our growing team. Our execution success is rooted in our unique model that is supported by our industry partners and specialists. The ImagineX culture thrives on entrepreneurship, risk taking, mutual trust, teamwork, encouraging change, and letting our consultants own their way of working.

This is a 100% remote position , no additional travel required, aggressive salary and bonus packages, and 401K matching.

Essential Duties and Responsibilities

• Design, implement, and maintain robust ETL/ELT pipelines to support data warehouse solutions.
• Architect and optimize data models for both OLAP (analytical) and OLTP (transactional) systems.
• Develop and maintain scalable data processing frameworks using PySpark and Apache Spark .
• Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions.
• Manage and optimize data storage solutions in Amazon Redshift and other AWS services.
• Ensure high data quality, integrity, and consistency across all pipelines and datasets.
• Automate data workflows and ensure efficient data ingestion from various sources.
• Monitor and troubleshoot data pipelines and performance issues in production environments.
• Drive best practices for data engineering, including coding standards, testing, and documentation.
• Care deeply about performance.
• Good people skills, care about mentoring others.

Technical Skills

• 5+ years of experience in data engineering or a related field.
• Strong experience with OLAP data modeling , data warehousing , and ETL pipeline development .
• Proficiency in PySpark for distributed data processing.
• Deep understanding of AWS services , especially those related to data (e.g., S3, Redshift, Glue, Lambda, EMR ).
• Experience designing solutions for OLTP systems and integrating transactional data sources.
• Solid hands-on experience with Amazon Redshift , including performance tuning and query optimization.
• Proficient in SQL and data manipulation across large datasets.
• Familiarity with data governance, security, and compliance practices.
• Excellent problem-solving and communication skills.

Strategic Skills

• Excellent verbal and written communication skills.
• Team player.
• Experience working within agile environments.

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