Senior Data Mart Developer
Published date: 2024/01/10
- Location: Bengaluru, Karnataka, India
Analytics Saves at Work(aSaw) is looking for Senior DataMart developer with AWS experience for one of its clients. The client company is a US based organization. It is primarily into health care and Insurance domain and its headquartered in USA.
Years of Experience: 4-8 Years
Location: Bangalore, India
Job Objective:
You will be responsible for Designing and building DataMart & pipelines and assisting in database design and writing complex SQL queries.
Job Requirements:
⦁ Strong background in Database development and Data warehousing and ETL process and Reporting
⦁ Develop Applications using Databricks and Spark 3.x for ETL and Data pipelines, Workflows and notebooks for Data Ingestion.
⦁ Experience in Snowflake hierarchy – Identify, Access, users & Roles, Databases, Ownership and Context, Worksheets, Warehouses, SQL Insert Statements, File Formats, Stages, Copy into Loading, Semi-Structured Data including XML and JSON, Querying Nested Semi-Structured Data.
⦁ Hand-on Experience with snowSQL, snowpipe and snow CLI.
⦁ Knowledge in ETL pipelines in and out of the data warehouse using a combination of Python and Snowflake SnowSQL for writing SQL queries.
⦁ Experience in developing data integration and ingestion strategies, including Snowflake cloud data warehouse, AWS S3 buckets and loading nested JSON formatted data
⦁ Good understanding on snowflake cloud database architecture
⦁ Good knowledge and experience on loading JSON, parquet and CSV files data into snowflake
⦁ Cloud automation experience with Terraform.
⦁ Understanding of AWS networking with VPC, Subnets, Transit gateway, routing etc.
⦁ Experience in Kubernetes, Helm charts.
⦁ Experience on an Agile team using Scrum or Kanban
We are looking for Candidates who have hands on experience in Snowflake, AWS, Database, Spark/Data Bricks, ETL tools
Years of Experience: 4-8 Years
Location: Bangalore, India
Job Objective:
You will be responsible for Designing and building DataMart & pipelines and assisting in database design and writing complex SQL queries.
Job Requirements:
⦁ Strong background in Database development and Data warehousing and ETL process and Reporting
⦁ Develop Applications using Databricks and Spark 3.x for ETL and Data pipelines, Workflows and notebooks for Data Ingestion.
⦁ Experience in Snowflake hierarchy – Identify, Access, users & Roles, Databases, Ownership and Context, Worksheets, Warehouses, SQL Insert Statements, File Formats, Stages, Copy into Loading, Semi-Structured Data including XML and JSON, Querying Nested Semi-Structured Data.
⦁ Hand-on Experience with snowSQL, snowpipe and snow CLI.
⦁ Knowledge in ETL pipelines in and out of the data warehouse using a combination of Python and Snowflake SnowSQL for writing SQL queries.
⦁ Experience in developing data integration and ingestion strategies, including Snowflake cloud data warehouse, AWS S3 buckets and loading nested JSON formatted data
⦁ Good understanding on snowflake cloud database architecture
⦁ Good knowledge and experience on loading JSON, parquet and CSV files data into snowflake
⦁ Cloud automation experience with Terraform.
⦁ Understanding of AWS networking with VPC, Subnets, Transit gateway, routing etc.
⦁ Experience in Kubernetes, Helm charts.
⦁ Experience on an Agile team using Scrum or Kanban
We are looking for Candidates who have hands on experience in Snowflake, AWS, Database, Spark/Data Bricks, ETL tools
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