
Big Data Solutions Architect
4 days ago
We are seeking a highly skilled Data Engineer to join our team.
- Key responsibilities will include designing, developing, and maintaining large-scale data systems.
- Candidates should have experience with Big Data technologies, including AWS, Python, and PySpark.
The ideal candidate will have a strong background in software development, excellent problem-solving skills, and the ability to work collaboratively in a fast-paced environment.
- Mandatory requirements:
- Hands-on experience with Python and PySpark.
- Build pySpark applications using Spark Dataframes in Python.
- Worked on optimizing spark jobs that processes huge volumes of data.
- Good to have knowledge of datawarehousing concepts – dimensions, facts, schemas- snowflake, star etc.
- Have worked with columnar storage formats- Parquet,Avro,ORC etc. Well versed with compression techniques – Snappy, Gzip.
- Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCache, DynamoDB.
Bonus Points:
- Familiarity with version control tools like Git.
- Experience with Amazon's Analytics services like Amazon EMR, Amazon Athena, AWS Glue.
- Knowledge of Amazon's Compute services like Amazon Lambda, Amazon EC2 and Amazon's Storage service like S3 and few other services like SNS.
A Word from Our Team:
We're looking for talented individuals who can help us shape the future of data engineering. If you have a passion for innovative solutions and collaboration, we'd love to hear from you
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