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KPMG Global Services - Consulting - Azure Data Engineer - Manager


KPMG India


Location

Bangalore | India


Job description

The following job opening is with KPMG Global Services.

KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG firms to provide a progressive, scalable and customized approach to business requirements. The KGS journey has been one of consistent growth, with a current employee count of more than 15,000 operating from four locations in India — Bengaluru, Gurugram, Kochi and Pune, providing a range of Advisory and Tax-related services to firms within the KPMG network. As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion & Diversity by ASSOCHAM (The Associated Chambers of Commerce & Industry of India). Furthermore, as KPMG in India, we were recognized as one of the ‘Best Companies for Millennials’ at The Millennial Max Conference 2019 presented by The LNOD Roundtable as well as ‘the Great Indian Workplace’ at the Culture Summit and Great Indian Workplace Awards 2019.

KPMG clients know our insights and guidance will help them to better understand market dynamics and address the many challenges they face. Improving business performance, turning risk and compliance efforts into opportunities, and creating, enhancing and preserving value are at the core of what we do. Our professionals work with many of the world’s leading organizations enabling them to innovate and expand, leverage IT investments, protect financial assets, manage risk, develop winning strategies and boost market confidence. They can count on our relentless execution to help get the job done right. We are currently seeking a Senior Security Associate for our KPMG Managed Services (Spectrum) practice to join us in our Bangalore office.

KPMG Global Services (KGS) was set up in India in 2008. It is a strategic global delivery organization, which works with more than 50 KPMG member firms to provide a progressive, scalable and customized approach to business requirements The KGS journey has been one of consistent growth, with a current employee count of nearly 10,000 operating from four locations in India — Bengaluru, Gurugram, Kochi and Pune, providing a range of Advisory and Tax-related services to member firms within the KPMG network. As part of KPMG in India, we were ranked among the top companies to work for in the country for four years in a row by LinkedIn, and recognized as one of the top three employers in the region for women, as well as for policies on Inclusion & Diversity by ASSOCHAM (The Associated Chambers of Commerce & Industry of India). Furthermore, as KPMG in

India, we were recognized as one of the ‘Best Companies for Millennials’ at The Millennial Max Conference 2019 presented by The LNOD Roundtable as well as ‘the Great Indian Workplace’ at the Culture Summit

and Great Indian Workplace Awards 2019.

Job Summary

KPMG’s network of Data & Analytics professionals recognizes that analytics has the power to create great value. That is why they take a business-first perspective, helping solve complex business challenges using analytics that clients can trust. Data & Analytics professionals focus on solving complex business issues across all the key drivers of organizational value, including growth, risk and performance. And they work to deliver an unwavering commitment to precision and quality in everything they do.

An Azure Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using Azure cloud services. This includes creating data pipelines, integrating data from various sources, and implementing data security and privacy measures. The Azure Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency.

Location:

Bangalore

Responsibilities: At least 7+ years of consulting or client service delivery experience on Azure At least 7+ 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 4+ years of hands-on experience in Azure and Big Data technologies such as Java, Python, SQL, ADLS/Blob, Spark/SparkSQL, Databricks, Hive and streaming technologies such as Kafka, EventHub, NiFi etc. 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 6+ 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 7 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. Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc. Multi-cloud experience a plus - Azure, AWS, Google


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