Job description

Data Engineer Lead ? Python, AWS, Redshift, ETL, SQL?

?1099 Only Contract ? 100% Remote ? Long Term

You will be working in the Data Engineering Team and leading a team of 3-5 engineers offshore. You

will be an instrumental part of data workflows throughout the organization. You will build distributed services to support multiple data analytics teams and business intelligence engineers reliably and at scale using AWS cloud environments. Provide cutting edge, reliable, and easy to use systems for ingesting and processing data and help the teams that build data intensive applications be successful.

You and your team will build and maintain batch and real-time data flows used for business intelligence, analytics for all organizations within the client. This also involves storing and exposing data via a Database, Data Lake, and other APIs.

Skills required:
8+ years of total experience

Must have strong experience in Python and SQL

Extensive experience in SQL query design and tuning for performance and accuracy

Must have strong experience in AWS services including S3, redshift, Kinesis, Lambda

Must have strong experience in ETL including the newer low code ETL tools such as Fivetran

Strong Experience in data engineering role, including data warehousing and business intelligence tools, techniques and technology, or experience in analytics, business analysis or comparable consumer analytics solutions

Statistics experience preferred

Experience in big data processing and using databases in a business environment with large-scale, complex datasets. (SQL, Hadoop, Spark, NoSQL, Cloud DBs)

Experience in an Agile/Sprint working environment preferred

Proficient research skills to locate market information using numerous internal and external sources of data

This is a long term contract ? will continue to be 100% remote

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