Roles and Responsibilities :

- Design, develop, test, deploy and maintain large-scale data pipelines using ETL tools such as Spark and Glue.
- Collaborate with cross-functional teams to gather requirements for data warehousing solutions and implement them efficiently.
- Develop scalable architectures on AWS cloud platform to handle high-volume datasets from various sources.
- Troubleshoot issues related to data quality, performance, and security in the data pipeline.

Job Requirements :

- 4-9 years of experience in Data Engineering with expertise in ETL (Extract Transform Load) processes.
- Robust understanding of Python programming language and its libraries like Pandas, NumPy, Matplotlib etc. .
- Experience working with big-data technologies like Spark, Hadoop, Kafka etc. .
- Knowledge of AWS services including S3 buckets, Lambda functions, Redshift tables etc. .

📌 Data Engineer (Gurugram)
🏢 Intersoft Data Labs
📍 Gurugram