Integrant
gaming
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Integrant. Skills: data analytical solutions, Microsoft on-premises and cloud technologies, Data Warehouses, Data Lakes, Data Lakehouses, MS SQL Server, Azure SQL, Azure Synapse Analytics, CosmosDB, ADLS gen 2, SSIS, Azure Data Factory, SSAS, Azure Data Catalog, Purview, Active Directory, Key Vault, Azure DevOps, Azure Stream Analytics, U-SQL, PolyBase, Azure Data Lake Analytics, PowerBI, SSRS, Snowflake. Lead the design, development, and maintenance of end-to-end data an”
What You'll Achieve.
driving change and making a significant impact in the gaming industry; delivering innovative analytical solutions to our clients
Industry & Context.
Knowledge of query and workload optimization
What They're Looking For.
Must Have
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
What You'll Do.
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
How You'll Work.
Team & Collaboration
Engage in collaborative requirement elicitation activities with our valued clientele; Mentor and guide junior team members in the field of data engineering; contributing to knowledge transfer within the organization
Communication Scope
collaborative requirement elicitation
Full Job Description
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-value
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