Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism SAPManagement Level Senior Associate & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.Location: Bangalore and Delhi NCR
Exp: 4+ yrs.

• Design, develop, and optimize data pipelines and ETL processes using PySpark or Scala to extract,

transform, and load large volumes of structured and unstructured data from diverse sources.

• Implement data ingestion, processing, and storage solutions on Azure cloud platform, leveraging

services such as Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics.

• Develop and maintain data models, schemas, and metadata to support efficient data access, query

performance, and analytics requirements.

• Monitor pipeline performance, troubleshoot issues, and optimize data processing workflows for

scalability, reliability, and cost-effectiveness.

• Implement data security and compliance measures to protect sensitive information and ensure

regulatory compliance.
Requirement

• Proven experience as a Data Engineer, with expertise in building and optimizing data pipelines

using PySpark, Scala, and Apache Spark.

• Hands-on experience with cloud platforms, particularly Azure, and proficiency in Azure services

such as Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL
Database.

• Strong programming skills in Python and Scala, with experience in software development, version

control, and CI/CD practices.

• Familiarity with data warehousing concepts, dimensional modeling, and relational databases

(e.g., SQL Server, PostgreSQL, MySQL).

• Experience with big data technologies and frameworks (e.g., Hadoop, Hive, HBase) is a plus.

Mandatory Skill Set-Data Engineering
Preferred Skill Set-Data Engineering
Year of experience required-5
Qualifications-B.E / B.Tech / MBAEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Data EngineeringOptional SkillsDesired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date

PwC