Data Engineer

Reposted 9 Days Ago
Hyderabad, Telangana, IND
In-Office
Mid level
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
The Role
Design, build, and maintain scalable data pipelines and ETL/ELT processes using PySpark and Python. Optimize complex SQL queries, manage data warehouse solutions, and handle large-scale data processing with Hadoop/Big Data technologies. Collaborate with business teams to translate data requirements, ensure data quality, and tune performance of data workflows.
Summary Generated by Built In

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)


Skills Required

  • Hands-on experience with PySpark and Python
  • Advanced proficiency in SQL
  • 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
  • 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)
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The Company
HQ: Westerville, OH
5,000 Employees
Year Founded: 1999

What We Do

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 5000+ 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.

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