Role & responsibilities

5+ years of overall IT experience, which includes hands on experience in Big Data technologies.
- Mandatory - Hands on experience in Python and PySpark.
- Build pySpark applications using Spark Dataframes in Python.
- Worked on optimizing spark jobs that processes huge volumes of data.
- Hands on experience in version control tools like Git.
- Worked on Amazons 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.
- Positive 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.

Bigdata, AWS, python, Pyspark, AWS services - IAM, lambda, EMR, glue

Preferred candidate profile

📌 Data Engineer, (Noida)
🏢 Tekskills
📍 Noida