Senior Data Engineer

2 days ago

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Blue Coding LLC

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Nearshore Staff Augmentation • Extended Teams • Staffing & Recruitment • IT Staffing & Recruitment • Outsourced Engineering Teams

11 - 50

Description

• Become part of a leading next-gen software development team at Blue Coding. • Work independently as a Data Engineer with a focus on data solutions for US clients. • Collaborate with diverse teams to optimize performance and build decision-making tools.

Requirements

• Bachelor’s degree in Computer Science, Information Systems or demonstrated ability in a related field is required. • Expertise in data management using structured (SQL) and unstructured (NoSQL) approaches, with Redshift experience as a plus. • Proficiency in data visualization principles, especially with PowerBI and Tableau. • Familiarity with Agile methodologies and tools like Jira. • Knowledge of software development life cycles and practices, including git and cloud-native technologies like S3, EMR (Spark), Lambda, Kinesis, Firehose, Glue, and Terraform. • Programming expertise in Python and/or Scala, with an understanding of infrastructure as code principles. • Experience in data pipeline design, database modeling for analytical datasets or feature stores, and cloud software monitoring/alerting. • Familiarity with client/server concepts, including SFTP, APIs, and web scraping, and supporting data visualization users (e.g., Tableau, PowerBI) or analytics/data science teams. • Strong communication skills and a commitment to professional growth in data engineering and architecture. • Proven ability to design enterprise-scale solutions with long-term business impact. • Leadership capabilities, including coaching, mentoring, and developing peers. • Excellent time management and independent problem-solving skills, with a self-motivated and driven work ethic. • Ambitious, collaborative team player with a Bachelor's degree or higher in Computer Science, Information Systems, or a related field (or demonstrated equivalent ability). • 1-5 years of experience in data engineering or a technical role within data environments.

Benefits

• Salary in USD • Flexible schedule (within US Time zones) • 100% Remote