Company Name:-
Pitney Bowes

Job Location:-
Pune, Maharashtra

Job Summary:-
Impact
As a Datawarehouse data developer who enjoys building logical and physical data models using tools, create & Maintain OLAP/OLTP snowflake warehouse.

The Datawarehouse data developer will be responsible for conducting modeling sessions with project teams across all business groups, gather and define data requirements for Enterprise Data Model.

This person will work with a highly-integrated, cross-discipline agile team.

You are expected to be hands on and up to date with the latest technology stack.

If this type of position motivates you, tell us why you are the right person for this challenging role!
The JobMust have around 6+ years of experience in SQL & Big data Warehouse Development.

Create logical and physical data models using tool, create & Maintain OLAP/OLTP snowflake warehouse.

Provide and enforce best practices and governance standards, normalization, data classification, and normalization in the delivery of high-quality data solutions for Enterprise Data Warehouse, business group focusedBI platforms (Data Marts), metadata reporting applications, and OLAP systems.

Conduct modeling sessions with project teams across all business groups, gather and define data requirements for Enterprise Data Model.

Lead discussion with stakeholders designed to transform subscriber data requirements into a robust, canonical logical model and data dictionary, with clearly-written business definitions for logical entities and attributes that describe enterprise data in a way that is consumable by a wide business audience.

Experience with Cloud BI Platform – SnowflakeStrong experience of building report using Power BI/TableauExperience in reporting tools, including SQL Database, Power BI / Tableau and Data warehouse.

Experience in MSSQL Scripting & PL/SQL, Oracle database, TD, SnowflakeExperience with big data and event streaming concepts and visualization (Kafka, ELK, Splunk, Hadoop, Hive, Graphite, Prometheus)Enforce architectural standards and influence Developers, Technical Leads, Project Managers, and Systems Analysts regarding best practices for Enterprise Data Warehouse Design.

Perform light Data Analysis and Data Profiling as needed.

Good hands-on experience on batch processing and streaming data/Analytics
Qualificatio

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