Role: Cloud Engineer

Location: Minneapolis, MN

Key Skills: Big Data, Python, PySpark, AWS, Scripting, Git.

Experience: 08+ years

Mode of Hire: Full Time

Skills Required:

• Hands on experience in Big Data technologies.
• Mandatory - Hands on experience in Python and PySpark. Python as a language is practically usable for anything, we are looking for application Development and Extract/Transform/Load and Data lake curation experience using Python.
• Build PySpark applications using Spark Data frames in Python using Jupyter notebook and PyCharm(IDE).
• Worked on optimizing spark jobs that processes huge volumes of data.
• Hands on experience in version control tools like Git.
• Worked on Amazon’s Analytics services like Amazon EMR, Amazon Athena, AWS Glue.
• Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
• Experience/knowledge of bash/shell scripting, PowerShell etc
• Experience in designing CFTs/ Terraform templates for deploying Infrastructure-as-code
• Has built ETL processes to take data, copy it, structurally transform it etc. involving a wide variety of formats like CSV, TSV, XML and JSON.
• Experience in working with fixed width, delimited , multi record file formats etc.
• Good to have knowledge of data warehousing 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 (at least one) Aurora, RDS, Redshift, ElastiCache, DynamoDB.
• Understanding of foundational technologies such as IAM, core IaaS services (compute, storage, networking).