Responsibilities for Data Engineer :
- Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes.
- Identify, design, and implement internal process improvements through : automating manual processes using Python, 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 / AWS / Snowflakes 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 AWS regions.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for 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 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.Desired Skillset :
3+ years of experience in a Python Scripting and Data specific role, with a Bachelor degree.Experience with data processing and cleaning libraries e.g. Pandas, numpy, etc., web scraping / web crawling for automation of processes, API's and how they work.Debugging code if it fails and find the solution. Should have basic knowledge of SQL server job activity monitoring and of Snowflake.Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.Experience with most or all the following cloud services : AWS, Azure, Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.(ref : hirist.tech)