Data Engineer
Indium
Job Posting
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)
At Indium, diversity, equity, and inclusion (DEI) are core values. We promote DEI through a dedicated council, expert sessions, and tailored training, fostering an inclusive workplace. Our initiatives, like the WE@IN women empowerment program and DEI calendar, create a culture of respect and belonging. Recognized with the Human Capital Award, we're committed to an environment where everyone thrives. Join us in building a diverse, innovative workplace.