• US Citizen

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• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

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• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 25th Apr 2022

This is a long term assignment in US(Houston) for a Sr. Data Engineer for "DS_Polymers Data Insights" Project in Chemicals Business.

Primary Skillset: Azure (Azure Databricks, Azure Data Factory, Azure Data lake Storage, Azure SQL / SQL) Secondary skillset: BW/HANA

The candidate will be responsible for expanding and optimizing our data, data pipeline architecture and optimizing data flow across functional teams. The Data Engineer will work with our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.

Responsibilities for Data Engineer
• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure, AWS 'big data' technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure, AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Qualifications for Senior Data Engineer • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets. • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate around 5 years of experience.