Posted 29 May, 2026
SNOWFLAKE + AWS DATA ENGINEER
NR Consulting
Chennai,Tamil Nadu
Full Time
Reference: 365_463738_26-01041
Title: SNOWFLAKE + AWS DATA ENGINEER
Location: Chennai
Exp: 5+ yrs
Job Description:
• Understand customer requirements and render those as architectural models that will operate at large scale and high performance. Where customers have architectures prepared, validate them against non-functional requirements and finalize the build model.
• Experience in creating and monitoring SNOW PIPE for continuous data ingestion from source.
• Experience in Loading data into snowflake tables from the internal stage using Snow SQL (CLI)
• Work alongside customers to build data management platforms using AWS products like Elastic Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, Lake Formation, S3, AWS Glue, DynamoDB, ElastiCache and the Relational Database Service (RDS)
• Hands on experience in Python.
• Well experience on other AWS services EC2, EMR, Redshift, S3, Streaming services like Kafka, Kinesis, HDFS.
• Experience in AWS + Snowflake/Redshift implementation is must.
• Security of EMR cluster using KMS keys or customer managed keys
• Deep experience on Snowflakes/AWS native data services including Glue, Glue Catalog, EMR, PySpark-EMR, Data Sync, RDS, Data Exchange, Lake Formation, Athena, Apache Airflow and dbt.
• (Secondary) Knowledge on Teradata SQL, Teradata Utilities – TPT, FASTLOAD, MLOAD, FASTEXPORT, TPUMP and Scripting - Bteq & Unix shell scripting
• (Secondary) Knowledge of database technologies Teradata, DataStage, Cloudera, Big data Hadoop
• Render working, high performance data management solutions, as CloudFormation and reusable artifacts for implementation by the customer. Bootstrap using user data scripts will be added advantage
• Prepare architecture and design briefs that outline the key features and decision points of the application built in the Data Lab
• Work with customers to advise on changes as they put these systems live on AWS
• Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the worldwide AWS solution architect community
Basic Qualifications:
• 5 to 10 years of IT experience with 5+ years of experience in Data Engineering and 5+ years of hands-on experience in Snowflake Data/AWS Services (e.g. S3, Glue, Glue Catalog, Lake Formation)
• Strong understanding of Snowflake architecture.
• Strong understanding of Teradata or DataStage architecture. (Secondary)
• Experience with data migration tools like Glue, Data Sync.
• Excellent knowledge of data modeling, data warehousing, ETL processes, and other Data management systems.
• Strong understanding of security and compliance requirements in cloud.
• Experience in Agile development methodologies and version control systems.
• Excellent communication an leadership skills. Ability to work effectively across internal and external organizations and virtual teams.
• AWS Certified Data Analytics – Specialty.
• Experience on Containerization and serverless computing.
• Familiarity with DevOps practices and automation tools.
Location: Chennai
Exp: 5+ yrs
Job Description:
• Understand customer requirements and render those as architectural models that will operate at large scale and high performance. Where customers have architectures prepared, validate them against non-functional requirements and finalize the build model.
• Experience in creating and monitoring SNOW PIPE for continuous data ingestion from source.
• Experience in Loading data into snowflake tables from the internal stage using Snow SQL (CLI)
• Work alongside customers to build data management platforms using AWS products like Elastic Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, Lake Formation, S3, AWS Glue, DynamoDB, ElastiCache and the Relational Database Service (RDS)
• Hands on experience in Python.
• Well experience on other AWS services EC2, EMR, Redshift, S3, Streaming services like Kafka, Kinesis, HDFS.
• Experience in AWS + Snowflake/Redshift implementation is must.
• Security of EMR cluster using KMS keys or customer managed keys
• Deep experience on Snowflakes/AWS native data services including Glue, Glue Catalog, EMR, PySpark-EMR, Data Sync, RDS, Data Exchange, Lake Formation, Athena, Apache Airflow and dbt.
• (Secondary) Knowledge on Teradata SQL, Teradata Utilities – TPT, FASTLOAD, MLOAD, FASTEXPORT, TPUMP and Scripting - Bteq & Unix shell scripting
• (Secondary) Knowledge of database technologies Teradata, DataStage, Cloudera, Big data Hadoop
• Render working, high performance data management solutions, as CloudFormation and reusable artifacts for implementation by the customer. Bootstrap using user data scripts will be added advantage
• Prepare architecture and design briefs that outline the key features and decision points of the application built in the Data Lab
• Work with customers to advise on changes as they put these systems live on AWS
• Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the worldwide AWS solution architect community
Basic Qualifications:
• 5 to 10 years of IT experience with 5+ years of experience in Data Engineering and 5+ years of hands-on experience in Snowflake Data/AWS Services (e.g. S3, Glue, Glue Catalog, Lake Formation)
• Strong understanding of Snowflake architecture.
• Strong understanding of Teradata or DataStage architecture. (Secondary)
• Experience with data migration tools like Glue, Data Sync.
• Excellent knowledge of data modeling, data warehousing, ETL processes, and other Data management systems.
• Strong understanding of security and compliance requirements in cloud.
• Experience in Agile development methodologies and version control systems.
• Excellent communication an leadership skills. Ability to work effectively across internal and external organizations and virtual teams.
• AWS Certified Data Analytics – Specialty.
• Experience on Containerization and serverless computing.
• Familiarity with DevOps practices and automation tools.
