Sr. Data Engineer - (Big Data, Spark, Scala, Python, AWS, RDBMS, SQL) (copy)

Responsibilities

• Build scalable, reliable, cost-effective solutions for both the Cloud and on-premises with an emphasis on quality, best-practice coding standards, and cost-effectiveness
• Build and test Cloud-based applications for new and existing backend systems to help facilitate development teams to migrate to the cloud. 
• Build platform reusable code and components that could be used by multiple project teams.
• Understand the enterprise architecture within the context of existing platforms, services and strategic direction.
• Implement end-to-end solutions with sound technical architecture, in Big Data analytics framework along with customized solutions that are scalable, with primary focus on performance, quality, maintainability, cost and testability.
• Drive innovative solutions within the platform to establish common components, while allowing customization of solutions for different products.
• Develop design specifications, continuous build and deployment strategy to drive Agile methodology
• Setup and manage expectations with consultants engaged in the projects.
• Provide cloud integration development support to various project teams. 
• Build rapid technical prototypes for early customer validation of new technologies
• Collaborate effectively with Data Science to understand, translate, and integrate methodologies into engineering build pipelines 
• Collaborate with product owners to translate complex business requirements into technical solutions, providing leadership in the design and architecture processes.
• Provide expert apprenticeship to project teams on technology strategy, cultivating advanced skill sets in application engineering and implementing modern software engineering practices
• Mentor junior team members, providing guidance and support in their professional development
• Stay informed about the latest technology and methodology by participating in industry forums, having an active peer network, and engaging actively with customers
• Cultivate a team environment focused on continuous learning, where innovative technologies are developed and refined through collaborative effort

Key Skills

• Domain Expertise
• Bachelor’s degree in computer science, engineering plus 4-8 years of experience in information technology solutions development. 
• Must have strong cloud Implementation expertise in cloud architecture. 
• Must have strong analytical and technical skills in troubleshooting and problem resolution. 
• Must have the ability to provide solutions utilizing best practices for resilience, scalability, cloud optimization and security. 
•  3+ years of experience: big data using Apache Spark in developing distributed processing. applications; building applications with immutable infrastructure in the AWS Cloud with automation technologies like Terraform or Ansible or Cloud Formation.


• Technical Skills
• Experience in software development using programming languages & tools/services: Java or Scala, Big Data, Hadoop, Spark, Spark SQL, Presto \ Hive, Cloud (preferably AWS), Docker, RDBMS (such as Postgres and/or Oracle), Linux, Shell scripting, GitLab, Airflow, Cassandra & Elasticsearch.
• Experience in big data processing tools/languages using Apache Spark Scala.
• Experience with orchestration tools: Apache Airflow or similar tools.
• Strong knowledge on Unix/Linux OS, commands, shell scripting, python, JSON, YAML.
• Agile scrum experience in application development is required. 
• Strong knowledge  in AWS S3, PostgreSQL or MySQL.
• Strong knowledge  in  AWS Compute: EC2, EMR, AWS Lambda.
• Strong knowledge in Gitlab /Bitbucket .
• AWS Certification is a plus
• "Big data" systems and analysis
• Experience with data warehouses or data lakes


• Mindset and attributes
• Very strong verbal and written communication skills
• Advanced analytical and technical skills in troubleshooting and problem resolution.
• Ability to coach, mentor and provide guidance to junior colleagues