Job Description

Job Title:
Data Engineer

Job Description:
• Design, build, and maintain
scalable data pipelines
using PySpark and Python
• Develop and optimize
complex SQL queries
for large datasets
• Implement and manage
ETL/ELT processes
ensuring data quality and reliability
• Collaborate with business and product teams to translate
data requirements into solutions
• Build and maintain
data warehouse solutions
• Handle
large-scale data processing
using Hadoop/Big Data technologies
• Perform
performance tuning and optimization
of data workflows

Required Skills:
• Strong hands-on experience with
PySpark and Python
• Advanced proficiency in
SQL
• Solid experience in
ETL processes and data warehousing
• Familiarity with
Hadoop ecosystem and Big Data technologies
• Experience working with
large datasets in distributed environments
• Good communication and business understanding

Good to Have:
• Experience with
Apache Airflow
• Exposure to
cloud platforms (AWS, GCP, Azure)
• Knowledge of
data lakes and modern data architectures
• Experience with
streaming tools (Kafka, Spark Streaming)

About Indium

Indium is an AI-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative AI, Product Engineering, Intelligent Automation, Data & AI, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact.

With 5,000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology - driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an AI-first world.

Industry

IT & Software

Company Size

1,001-5,000 employees

Headquarters

Cupertino, California

Year Founded

Unknown

Website

indiumsoftware.com

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