Data Engineer x 2

Data Engineer x 2

Typical Day in Role:
-Collaborate with stakeholders to deliver data models to address operational needs
-Combine multiple data sources across all contact center platforms and applications to support advanced analytics products
-Ingest massive volumes of structure and unstructured format data, model, transform and store it in a variety of data stores
-Support the Senior Data Engineer in defining data quality metrics and processes to monitor data in production environment
-Assist MIS & Data Analytics team with infrastructure developmen
-Develop ETLs for analytics solutions using Python, Spark, SQL and Power BI
-Produce ad hoc analyses, deep-dives, and drill downs on specific issues, topics, or areas of opportunity (e.g. process improvements)
-Support the Senior Data Engineer in preparing reports and presentations to communicate findings to stakeholders
-Assist in mentoring and up-skilling peers for advanced analytics
-Streamline, enhance and automate existing products to create capacity for team to develop new solutions

Candidate Requirements/Must Have Skills:
1) 5+ years data engineering experience in cross-functional data teams (data modelling, data warehousing and database design)
2) 5+ years using python or other programming languages (application development, package management, dependencies, and deployment)
3) 5+ years using SQL for ETL, DBT and data analysis, flexibility on syntax (SQL server, PostgreSQL)
4) 3+ years of Experience with UNIX/LINUX tools and shell scripting
5) 3+ years of experience designing and building ETL/ELT, data pipelines, or data engineering solutions

Nice-To-Have Skills:
1) Experience and understanding of various ML techniques including NLP
2) Hands-on experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark, BigQuery) and object storage (e.g. blob, MinIO)
3) Experience with Docker, CI/CD tools, and Airflow and Kubernetes
4) Experience with cloud architecture (Azure, AWS, GCP)
5) Contact center experience
6) Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect)
7) French and / or Spanish fluency
8) Understanding of Agile and Scrum methodologies and experience working in a Scrum environment (Jira and Confluence)

Soft Skills Required:
– Strong collaboration skills with ability to translate technical knowledge into business value
– Effective communication skills with ability to prepare project documentation and presentation for both technical and non-technical audiences
– Advanced problem-solving skills, and able to navigate an uncertain environment
-Ability to work independently

Education:
University degree in science, computer science, math, statistics, finance, economics, or another quantitative field, or equivalent experience. cxz