Associate Director

Bangalore, Karnataka, India

KPMG India

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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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Azure Big Data CI/CD Computer Science Consulting Data analysis Databricks Data governance Data management Data quality Data warehouse DevOps ETL Git Hadoop Jenkins Kafka Kubernetes Microservices MySQL NiFi Pipelines PySpark Python RDBMS Security Snowflake Spark SQL Streaming

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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