Data Integration Specialist - Thane, India - RS Consulting

Description

We are looking for an Integration Tech Lead with experience on the Boomi platform

ResponsibilitiesBuild, document, test and launch new data extract, transform and load (ETL) processes for one or more core data sets.

Collaborate with Business Intelligence team and other stakeholders for data requirementsCollaborate with Data Management team to provide quality data to stakeholders.

Build data expertise and learn company history needed to effectively design data pipelines.

General RequirementsHighly collaborative and empathic approach to problem solvingNaturally curious with the drive to learn what is needed to identify root causeCapable of actioning high-level, sometimes ambiguous requirements into operational tools/dashboardsDemonstrated organizational skills, attention to detail and ability to work independently while staying integrated with the broader Data Engineering team as well as stakeholdersA strategist with sound business and technical acumen.

Proven ability to influence at various levels of leadership, without direct authorityStrong problem-solving skills (critical, strategic, and evaluative thinking)Ability to synthesize complex data concepts into easily comprehended messages

Technical Skill RequirementsData Collection ToolsKnowledge of data modeling and design of schemas for read and write performance.
Build Processes supporting data transformation, data structures, metadata, dependency, and workload management.

Knowledge of message queuing, stream processing, API based extraction and highly scalable 'big data' data storesExperience in Python and SQL.

Experience with

Boomi is a plus.
ETL Automation – experience with building data pipelines from business applications like Salesforce, Marketo, NetSuite, Workday and JiraKnowledge of Databricks PlatformKnowledge of AI/ML/ Data ScienceKnowledge od BI Tools like Tableau, Looker etcEducation & ExperienceBachelor's degree required in related fieldMinimum 5 years related work experienceOngoing education in an area related to Data Analytics (Data Sciences, Mathematics, Statistics, Industrial Psychology, Organizational Behavior, or Finance/Accounting) preferredExperience working in a high growth company preferred