Associate Data Architect

Role & ResponsibilitiesWork 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.Must Have SkillsBachelor’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, Redshift/Big Query warehouse.Knowledge of Data ingestion and Engineering Platforms is must haveGood 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 haveKnowledge 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 mustStrong 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 SnowflakeExperience with Data Ingestion into SnowFlake such as Snowpipe, Bulk Copy CommandsExperience in data modeling techniques such as de-normalized, star and snowflake schemas.

India
Maharashtra
Mumbai Show on map Get directions