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• Corp-Corp

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 7th Feb 2023

•            Create and maintain optimal data pipeline architecture,

•            Assemble large, complex data sets that meet functional / non-functional business requirements.

•            Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

•            Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

•            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 Data Engineer

•            8 to 10 years of experience working in data engineering, business intelligence or related field delivering large scale data platforms and services. Ideal candidate will have the following skills:

•            A successful history of manipulating, processing and extracting value from large, disconnected datasets.

•            Expertise in data modeling, data access and data storage techniques. The candidate should have foundational knowledge of dimensional modeling to build a data warehouse

•            Strong experience building transformational logic using SQL on relational SQL and NoSQL databases. Skills using DBT framework for data transformation is plus

•            Robust programming skills and strong experience with Python to ingest, transform and load the data

•            Experience building and optimizing ‘big data’ data pipelines, architectures and data sets using tools like Airflow.

•            Experience with AWS cloud services: EC2, EMR, RDS, Redshift