Jobs in United States

Responsibilities:

• Lead technical initiatives and guide the team to develop innovative software solutions that address complex challenges.
• Build scalable, efficient, and high-performance pipelines and workflows for processing large volumes of batch and real-time data.
• Maintain and enhance existing software systems to ensure performance and reliability.
• Recommend and implement technology upgrades to drive continuous improvement.
• Support real-time streams, ETL pipelines, data warehouses, and reporting services.
• Design and develop data frameworks, applications, and microservices that seamlessly integrate with other services.
• Utilize Big Data tools such as Kafka, AWS S3 Data Lake, EMR, and Spark to ingest, store, transform, and query data.
• Adhere to coding best practices, including unit testing, design/code reviews, and comprehensive documentation.
• Conduct thorough code reviews to maintain quality, mentor junior team members, and promote continuous learning.
• Perform performance analyses and capacity planning for each release.
• Work effectively as part of an Agile team, contributing to process improvements and innovative solutions.
• Implement and promote security protocols and data governance standards across development projects.
• Proactively introduce new approaches to overcome software challenges throughout the product lifecycle.

Requirements:

• Strong software design skills with a deep understanding of design patterns and performance optimization.
• Expertise in writing high-quality, well-structured Scala code with an emphasis on functional programming and test-driven development.
• Ability to produce clear, concise, and organized documentation.
• Knowledge of Amazon cloud computing services (Aurora MySQL, DynamoDB, EMR, Lambda, Step Functions, and S3).
• Excellent communication skills and the ability to collaborate effectively with team members of varying technical backgrounds.
• Proficiency in conducting detailed code reviews focused on improving code quality and mentoring developers.
• Familiarity with software engineering and project management tools.
• Commitment to following security protocols and best practices in data governance.
• Capability to construct KPIs and use metrics for continuous process improvement.

Minimum qualifications:

• 15+ years of experience designing and developing enterprise-level software solutions.
• 5+ years of experience with large volume data processing and Big Data tools such as Apache Spark, Scala, Hadoop, and Snowflake.
• 5+ years of experience developing Scala/Java applications and microservices using Spring Boot.
• 5+ years of experience working with SQL and relational databases.
• 2+ years of experience working within Agile/Scrum environments.