Job Title: Data Engineer

:

- 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
- Valuable 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)

📌 Data Engineer (Hyderabad)
🏢 Indium
📍 Hyderabad