IN_Senior Associate_Junior Data Engineer_GCC_Advisory_Noida

Mployee.me; Dadri; In loco; INR 600.000 - 1.200.000; Tempo pieno

Descrizione del lavoro

PwC in India seeks a data engineer to extract insights from large datasets and support data-driven decisions. You will build data pipelines, perform data wrangling, and deploy analytical models for business outcomes.

The role emphasizes SQL, Python, PySpark, Databricks, and cloud platforms. 1–4 years of experience is expected, with BE/B.Tech/MBA/MCA qualifications.

Competenze

• Strong foundation in SQL and Python for data manipulation and analysis.
• Experience with PySpark for large-scale data processing and transformation.
• Familiarity with Databricks and cloud-based data warehouses is required.

Mansioni

• Develop and maintain data pipelines using Python and PySpark to extract, transform, and load data from various sources into cloud-based data warehouses.
• Write and optimize complex SQL queries to support data analysis requirements and ensure efficient data retrieval for business intelligence applications.
• Collaborate with senior data engineers to design and implement scalable data architecture solutions using Databricks platform for big data processing.
• Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes to ensure data quality and reliability across cloud environments.
• Assist in building automated ETL processes that integrate data from multiple sources including APIs, databases, and file systems.
• Support data modeling activities by creating and maintaining dimensional models and data marts to facilitate analytical reporting.
• Participate in code reviews and follow best practices for version control, testing, and documentation of data engineering solutions.
• Contribute to cloud infrastructure management tasks including resource optimisation and cost monitoring for data processing workloads.

Conoscenze

SQL

Python

Pyspark

Databricks

Cloud

Formazione

BE/B.Tech

MBA

MCA

Strumenti

Databricks Platform

Descrizione del lavoro

Job Summary

.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision‑making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Responsibilities

• Develop and maintain data pipelines using Python and PySpark to extract, transform, and load data from various sources into cloud-based data warehouses.
• Write and optimize complex SQL queries to support data analysis requirements and ensure efficient data retrieval for business intelligence applications.
• Collaborate with senior data engineers to design and implement scalable data architecture solutions using Databricks platform for big data processing.
• Monitor and troubleshoot data pipeline performance issues, implementing necessary fixes to ensure data quality and reliability across cloud environments.
• Assist in building automated ETL processes that integrate data from multiple sources including APIs, databases, and file systems.
• Support data modeling activities by creating and maintaining dimensional models and data marts to facilitate analytical reporting.
• Participate in code reviews and follow best practices for version control, testing, and documentation of data engineering solutions.
• Contribute to cloud infrastructure management tasks including resource optimisation and cost monitoring for data processing workloads.

Mandatory Skill Sets

• SQL
• Python
• Pyspark
• Databricks
• Cloud

Years of Experience

1-4 years

Education qualification

BE/B.Tech/MBA/MCA

Degrees/Field of Study

Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering

Required Skills

• Generative AI

Optional Skills

• Accepting Feedback
• Active Listening
• AI Fluency
• AI-Human Collaboration
• Algorithm Development
• Alteryx (Automation Platform)
• Analytical Thinking
• Analytic Research
• Big Data
• Business Data Analytics
• Communication
• Complex Data Analysis
• Conducting Research
• Creativity
• Customer Analysis
• Customer Needs Analysis
• Dashboard Creation
• Data Analysis
• Data Analysis Software
• Data Collection
• Data-Driven Insights
• Data Integration
• Data Integrity
• Data Mining

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.