Job Description

The shortlisted candidate should have strong communication, interpersonal, analytical, and problem-solving skills. Should have an ability to effectively communicate complex technical concepts within the team, and is able to work individually or as part of a team to achieve project goals.

You are required to have skills in the following areas :
4-6 yrs of experience in BI environment
AWS, Python, PYSPARK, AWS PaaS, Big Data.

Desirable Skills: AWS Glue

Responsibilities:
Strong Experience in AWS Data and Analytics Services (2 years) AWS Cloud Glue, S3, Lambda, EMR, Athena, IAM, Redshift, Data Pipeline, Step Function, Kinesis, DynamoDB, RDS, etc
Strong knowledge & hands-on experience in Spark with Python (2 years)
Strong knowledge & hands-on experience in Python Pandas (2 years)
Strong knowledge & hands-on experience in Big Data/Hadoop Stack like Hive, Hbase, HDFS, etc
Extensive experience in designing, developing, and deploying Bigdata pipelines
Strong hands-on in SQL development (2 years) and in-depth understanding of optimization and tuning techniques in SQL.
Experience in developing & integrating in Databricks notebooks using Spark (1 years) and build and deploying pipelines on DataBricks Cloud - Delta Lake
Development in Notebooks (like Jupyter/DataBricks/Zeppelin etc) (1 years)
Good to have:
Develop and schedule jobs in Airflow (1 years)
Experience in working with databases such as Redshift, Snowflakes
Good hands-on UNIX/LINUX (2 years) environment with shell scripting knowledge.
Education: Any Graduate
Industry: Software Services, IT-Software

Skills Required