22 Sep
|
Apexon
|
Bengaluru
Roles and Responsibilities :
- Design, develop, test, and deploy large-scale data pipelines using Hadoop, Spark, and Snowflake.
- Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
- Develop complex SQL queries to extract insights from massive datasets stored in Parquet format on AWS S3.
- Troubleshoot issues related to data processing, storage, and retrieval.
Job Requirements :
- 3-6 years of experience in Data Engineering with expertise in Hadoop ecosystem (HDFS) and Spark.
- Solid proficiency in Python programming language with knowledge of AWS services such as S3, Glue, Lambda etc. .
- Experience working with relational databases like Snowflake is required; strong understanding of SQL concepts including joins, aggregations, filtering etc. .
- Familiarity with Parquet file format for storing structured data.
📌 Data Engineer (Bengaluru)
🏢 Apexon
📍 Bengaluru