Data Architect designing ETL workflows and data models for BI solutions leveraging Snowflake. Collaborating with stakeholders and maintaining data quality in reporting systems.
Responsibilities
Work with business users and other stakeholders to understand business processes. Ability to design and implement Dimensional and Fact tables
Identify and implement data transformation/cleansing requirements
Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse
Develop conceptual, logical and physical data models with associated metadata including data lineage and technical data definitions
Design, develop and maintain ETL workflows and mappings using the appropriate data load technique Provide research, high-level design and estimates for data transformation and data integration from source applications to end-user BI solutions.
Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.
Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.
Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.
Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract, and transform into reporting & analytics.
Build transformation Jobs on SnowFlake to transform source data to target schema used in BI tools.
Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.
Train business end-users, IT analysts, and developers.
Requirements
Bachelor’s degree in Computer Science or similar field or equivalent work experience.
Experience with Snowflake warehouse and developing applications on Snowflake, SnowSQL, Snowpipe, Javascript UDF & Stored procedures is must have.
Strong in SQL is must have.
Hands on experience with Big Data, Python.
SnoeflakePro certification (mandate)
Knowledge of Data ingestion and Engineering Platforms is must have
Good understanding and experience on Data Warehousing or Data Integration projects is must have.
Good knowledge of at least one ETL tool and experience of creating data pipelines is must have.
IICS/Informatica knowledge is a good to have
Knowledge of the Insurance domain is good to have.
Expert with data warehousing standards, strategies and tools.
Expert with SDLC processes.
Strong knowledge of relational databases preferably ORACLE and SQL Server.
Knowledge of Python UNIX/LINUX shell scripting is must
Strong problem-solving, multitasking and organizational skills.
Good written and verbal communication skills.
Demonstrated experience of leading a team spread across multiple locations.
Migration experience from On Premise Source to Snowflake
Experience with Data Ingestion into SnowFlake such as Snowpipe, Bulk Copy Commands
Experience in data modeling techniques such as de-normalized, star and snowflake schemas.
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