
KPMG India
As a EWT Data Performance Manager and Offshore Lead:
- Should have at least 15 years of experience in the Data Management world. 5+ years of experience in Azure cloud on architecting, solutioning , building Data strategies and data products.
- Have at least 5 years of direct people management experience, managing all aspects of people and team performance.
- Should be data driven and should be capable of dealing with data, data analysis and data interpretation
- Demonstrates excellent ability to work in a remote environment and experienced in working collaboratively across Geographies such as UK, India, and Mexico.
- Effectively manage and build platform for team collaboration in offshore.
- Excellent communication and stakeholder engagement.
People Responsibilities
- Be accountable for the performance of all off-shore resources, whether in a direct or in-direct reporting line.
- Ensure all teams are compliant with performance management frameworks, information security standards, training requirements, risk, ethics, and behaviour and diversity guidelines.
- Goal setting oversight to ensure high standards of SMART objectives
- Ensure adequate career guidance / counselling is in place to support teams
Mandatory Skills:
- At least 10 + years of consulting or client service delivery experience on Azure
- Candidate must have experience as an Azure Architect in designing and providing architectural solutions by assessing the client requirements and pain areas.
- Should have experience in setting up the azure environment for the project by following the best practices as described by Microsoft.
- Should own the architecture, define standards, guidelines and best practices to be followed during the implementation phases.
- Should track the Project status, review the artifacts of the team members and provide directions to the team in case of any deviations observed.
- Should have experience in leading and mentoring the team.
- At least 5 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as MySQL and data warehouse solutions such as Snowflake
- Extensive experience providing practical direction within the Azure Native services and Hadoop
- Extensive hands-on experience implementing data ingestion, ETL and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks, Azure Data Catalog, Cosmo DB etc.
- Minimum of 3 years of hands-on experience in Azure and Big Data technologies such as Python, SQL, ADLS/Blob, Spark/SparkSQL, Databricks, Hive and streaming technologies such as Kafka, EventHub, NiFi etc.
- Must be Well versed with Pyspark development on databricks.
- Well versed in DevSecOps and CI/CD deployments
- Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, Event Hub, Kafka, etc.
- Minimum of 3 years of RDBMS experience
- Experience in using Big Data File Formats and compression techniques
- Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, Jenkins, etc.
- Experience with private and public cloud architectures, pros/cons, and migration considerations.
- Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 2 years work experience). If Associate’s Degree, must have equivalent minimum 2 years work experience
Preferred skills:
- DevOps on an Azure platform
- Experience developing and deploying ETL solutions on Azure
- IoT, event-driven, microservices, Containers/Kubernetes in the cloud
- Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
As a EWT Data Performance Manager and Offshore Lead:
- Should have at least 15 years of experience in the Data Management world. 5+ years of experience in Azure cloud on architecting, solutioning , building Data strategies and data products.
- Have at least 5 years of direct people management experience, managing all aspects of people and team performance.
- Should be data driven and should be capable of dealing with data, data analysis and data interpretation
- Demonstrates excellent ability to work in a remote environment and experienced in working collaboratively across Geographies such as UK, India, and Mexico.
- Effectively manage and build platform for team collaboration in offshore.
- Excellent communication and stakeholder engagement.
People Responsibilities
- Be accountable for the performance of all off-shore resources, whether in a direct or in-direct reporting line.
- Ensure all teams are compliant with performance management frameworks, information security standards, training requirements, risk, ethics, and behaviour and diversity guidelines.
- Goal setting oversight to ensure high standards of SMART objectives
- Ensure adequate career guidance / counselling is in place to support teams
Mandatory Skills:
- At least 10 + years of consulting or client service delivery experience on Azure
- Candidate must have experience as an Azure Architect in designing and providing architectural solutions by assessing the client requirements and pain areas.
- Should have experience in setting up the azure environment for the project by following the best practices as described by Microsoft.
- Should own the architecture, define standards, guidelines and best practices to be followed during the implementation phases.
- Should track the Project status, review the artifacts of the team members and provide directions to the team in case of any deviations observed.
- Should have experience in leading and mentoring the team.
- At least 5 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as MySQL and data warehouse solutions such as Snowflake
- Extensive experience providing practical direction within the Azure Native services and Hadoop
- Extensive hands-on experience implementing data ingestion, ETL and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks, Azure Data Catalog, Cosmo DB etc.
- Minimum of 3 years of hands-on experience in Azure and Big Data technologies such as Python, SQL, ADLS/Blob, Spark/SparkSQL, Databricks, Hive and streaming technologies such as Kafka, EventHub, NiFi etc.
- Must be Well versed with Pyspark development on databricks.
- Well versed in DevSecOps and CI/CD deployments
- Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, Event Hub, Kafka, etc.
- Minimum of 3 years of RDBMS experience
- Experience in using Big Data File Formats and compression techniques
- Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, Jenkins, etc.
- Experience with private and public cloud architectures, pros/cons, and migration considerations.
- Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 2 years work experience). If Associate’s Degree, must have equivalent minimum 2 years work experience
Preferred skills:
- DevOps on an Azure platform
- Experience developing and deploying ETL solutions on Azure
- IoT, event-driven, microservices, Containers/Kubernetes in the cloud
- Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
BE / Any Graduation
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