Senior Associate

PwC India; Dadri; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

PwC India is seeking a Data Engineer to design and optimize data pipelines using Azure and PySpark. This role focuses on developing scalable data processing solutions, implementing data ingestion, and ensuring data security. Strong programming skills in Python and Scala are essential. The ideal candidate will have 4-8 years of relevant experience and a background in B.E / B.Tech or MBA.

The position offers a dynamic work environment within analytics services, helping clients uncover business insights through data.

Qualifications

• Proven experience as a Data Engineer, with expertise in data pipelines.
• Hands-on experience with Azure cloud platforms.
• Strong programming skills in Python and Scala.

Responsibilities

• Design, develop, and optimize data pipelines using PySpark or Scala.
• Implement data ingestion on Azure cloud platforms.
• Monitor pipeline performance and troubleshoot issues.

Skills

Pyspark

Azure

Python

Scala

Education

B.E / B.Tech/ MBA

Tools

Azure Databricks

Azure Data Lake Storage

Azure Synapse Analytics

SQL Server

PostgreSQL

MySQL

Job description

Overview

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.

Responsibilities

• 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.

Requirements

• 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 skills

• Pyspark, Azure
• Year of experience: 4 - 8

Qualifications

B.E / B.Tech/ MBA

Required Skills

Microsoft Azure, PySpark

Optional Skills

Desired Languages

(If blank, desired languages not specified)