Senior Data Engineer – Enterprise Data
Job Type: Full Time / Permanent
8+ years of experience in Data Warehousing and development using data technologies such as Relational & NoSQL databases, open data formats, building data pipelines (ETL and ELT) with batch or streaming ingestion, loading and transforming data. Strong Data Modeling background , ETL/Data analysis and any cloud (Azure/Snowflake preferred) Expert in SQL and/or SQL based languages and performance tuning of SQL queries Strong understanding of Normalized/Dimensional model disciplines and similar data warehousing techniques. Strong experience working with ETL/ELT concepts of data integration, consolidation, enrichment, and aggregation in petabyte scale data sets. Experience with at least one of the following cloud platforms: Microsoft Azure (Preferred), Amazon Web Services (AWS), or Google Cloud Platform (GCP) Experience with cloud-based data warehouses – e.g. Snowflake, BigQuery, Synapse, RedShift, etc. Experience with message queuing, stream processing (Kafka, Pub/Sub).
Grasp of data management principles: Data Lake, Data Mesh, Data Catalog, Data Quality, etc. Experience in BI tooling such as Qlik, MicroStrategy, Tableau, PowerBI or Looker Experience with orchestration tools (Control-M, Airflow etc.) Strong communication skills across different mediums to craft compelling messages to drive action and alignment Comfort with agile delivery methodologies in a fast-paced complex environment – Scrum, SAFe, utilizing tools such as Jira, Confluence, and GitHub
Ideal candidates will have experience working with one of the following industries: Retail, Supply Chain, Logistics, Manufacturing or Marketing.