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Senior Data Engineer

We're on the lookout for exceptional individuals to join our team as Senior Data Engineers . As a part of our team, you'll be driving change and making a significant impact in the gaming industry.

Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies
Engage in collaborative requirement elicitation activities with our valued clientele
Mentor and guide junior team members in the field of data engineering
Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization

Requirements

4+ years of experience as a data engineer
Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses
Knowledge of Microsoft relational engines available - both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools)
Knowledge of query and workload optimization
Knowledge of administrating and managing analytical solutions both on premises and on the cloud
Knowledge of NoSQL offerings on Azure (e.g. CosmosDB)
Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics
Knowledge of using SSIS and Azure Data Factory to set up ETL jobs
Knowledge of setting up OLAP solutions using SSAS
Familiarity with Azure Data Catalog to manage data lake metadata
Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc
Knowledge of using Azure Stream Analytics to capture and analyze data in real time
Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics)
Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts)
Knowledge of implementing common ETL patterns to support data warehouse workloads
Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying
Knowledge of PowerBI
Familiarity with SSRS
Snowflake Experience: Experience with Snowflake is required

Nice to Have:

An MSc in Computer Science or other relevant field
Familiarity with Azure Databricks
Familiarity with DataOps
Familiarity with Azure Cognitive Services
Familiarity with Azure ML
Familiarity with MLOps
Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
Familiarity with Azure HD Insight
Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka
Familiarity with Azure Functions to perform lightweight transformations

Benefits