Data Engineer - India - RS Consulting

Description

Responsibilities:

• Build, 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 requirements
• Collaborate with the Data Management team to provide quality data to stakeholders.
• Build data expertise and learn company history needed to effectively design data pipelines.

General Requirements:

• Highly collaborative and empathic approach to problem solving
• Naturally curious with the drive to learn what is needed to identify root cause
• Capable of actioning high-level, sometimes ambiguous requirements into operational tools/dashboards
• Demonstrated organizational skills, attention to detail and ability to work independently while staying integrated with the broader Data Engineering team as well as stakeholders
• A strategist with sound business and technical acumen. Proven ability to influence at various levels of leadership, without direct authority
• Strong problem-solving skills (critical, strategic, and evaluative thinking)
• Ability to synthesize complex data concepts into easily comprehended messages

Technical Skill Requirements:

Data Collection Tools

• Knowledge 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 stores
• Experience 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 Jira
• Knowledge of Databricks Platform
• Knowledge of AI/ML/ Data Science
• Knowledge od BI Tools like Tableau, Looker etc

Education & Experience:

• Bachelor's degree required in related field
• Minimum 5 years related work experience
• Ongoing education in an area related to Data Analytics (Data Sciences, Mathematics, Statistics, Industrial Psychology, Organizational Behavior, or Finance/Accounting) preferred
• Experience working in a high growth company preferred