Senior Data Engineer

Bounteous x Accolite makes the future faster for the world's most ambitious brands. Our services span Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. We are guided by Co-Innovation, our proven methodology of collaborative partnership.

Bounteous x Accolite brings together 5000+ employees spanning North America, APAC, and EMEA, and partnerships with leading technology providers. Through advanced digital engineering, technology solutions, and data-driven digital experiences, we create exceptional and efficient business impact and help our clients win.

Information Security Responsibilities

• Awareness on information security measures such as acceptable use of information assets, malware protection, password security
• Understand and report security risks and how they impact the confidentiality, integrity, and availability of information assets
• Understand how data is stored, processed, or transmitted from a Data privacy and protection standpoint

Preferred Qualifications

• 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• Working knowledge of ETL technology - Talend / Apache Ni-fi / AWS Glue
• Experience with relational SQL and NoSQL databases
• Experience with big data tools: Hadoop, Spark, Kafka, etc. (Nice to have)
• Advanced Alteryx Designer (Mandatory at this point - relaxing that would be tough)
• Tableau Dashboarding
• AWS (familiarity with Lambda, EC2, AMI)
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. (Nice to have)
• Experience with cloud services: EMR, RDS, Redshift or Snowflake
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.(Nice to have)
• Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.

Responsibilities

• Work with Project Managers, Senior Architects and other team members from Bounteous & Client teams to evaluate data systems and project requirements
• In cooperation with platform developers, develop scalable and fault-tolerant Extract Transform Load (ETL) and integration systems for various data platforms which can operate at appropriate scale; meeting security, logging, fault tolerance and alerting requirements.
• Work on Data Migration Projects.
• Effectively communicate data requirements of various data platforms to team members
• Evaluate and document existing data ecosystems and platform capabilities
• Configure CI/CD pipelines
• Implement proposed architecture and assist in infrastructure setup