KPMG Global Services - Consulting - Databricks - Assisstant Manager

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 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.

Team Overview

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.

Job Requirements:

Mandatory Skills:

• Bachelor's degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
• 7+ years of relevant experience in data engineering roles
• Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
• Proficient in programming languages: Python
• Experienced with Databricks designing, developing, and maintaining data pipelines and solutions using Databricks, Apache Spark, and other related tools (Unity Catalog, Workflow, Autoloader, delta sharing) to process large datasets and extract actionable business insights.
• Databrick (e.g., DBX notebooks, SQL, Python/Spark, asset bundles, GIT, etc.)
• Experience building metrics deck and dashboards for KPIs including the underlying data models.
• Understand how to design, implement, and maintain a platform providing secure access to large datasets

Primary Roles and Responsibilities

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

Preferred Skills:

• Bachelor's degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
• 7+ years of work experience with ETL, Data Modelling, and Data Architecture.
• Experienced with Databricks designing, developing, and maintaining data pipelines and solutions using Databricks, Apache Spark, and other related tools (Unity Catalog, Workflow, Autoloader, delta sharing) to process large datasets and extract actionable business insights.
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Proven track record partnering with business owners to understand requirements and developing analysis to solve their business problems
• Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analysis.

Other Information:

• Interview process: Please expect 2 rounds of interview
• Does the job role involve travelling: No
• Candidate should be okay with Hybrid mode
• Does the busy season apply to this role: Seasonality of the work is dependent on the projects/ deliverable timelines
• Working location: Bangalore/Pune.