United States

Data Engineer -ETL - Onsite, Missouri

Data Engineer -ETL - Onsite, Missouri
Description
Job Description: POC: Sam Chavez

ATTENTION ALL SUPPLIERS!!!

READ BEFORE SUBMITTING

" UPDATED CONTACT NUMBER and EMAIL ID is a MANDATORY REQUEST from our client for all the submissions
" Limited to 1 submission per supplier. Please submit your best.
" We prioritize endorsing those with complete and accurate information
" Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
" Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
" Please submit profiles within the max proposed rate
" Please make sure to TAG the profiles correctly if the candidate has WORKED FOR INFOSYS as a SUBCON or FTE.

MANDATORY: Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ID) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.

Job Title: Technology Architect | ETL & Data Quality | ETL - Others -- Sr. ETL Developer
Work Location & Reporting Address: Maryland Heights, MO 63043 (Onsite. Will consider candidates willing to relocate to client's location)
Contract duration: 12
MAX VENDOR RATE: per hour max (NOT NEGOTIABLE)
Target Start Date: 28 May 2025
Does this position require . independent candidates only? No

Must Have Skills:
" Apache Airflow
" SQL
" Python

Nice to Have Skills:

Detailed Job Description:
Data Engineers with Apache Airflow and SQL experience. In this role, you will work directly with the clients to develop Data Orchestration and ETL Pipelines using Apache Airflow, implement workflow automation, and contribute to ETL initiatives. You will also be responsible for SQL-based data processing and transformations while ensuring seamless integration with on-prem database environments. Python will be required for scripting and custom Airflow development. You will be part of an entrepreneurship and learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Locations for this position are St. Louis, MO - USA.

Basic Qualifications:
" Bachelor s degree or foreign equivalent required from an accredited institution.
" At least 7 years of experience in Information Technology for JL5, 4 years for JL4.
" Very good communication skills English Level.

Mandatory Skillsets:
" At least 4 years of project experience in Apache Airflow, including DAG development.
" At least 4 years of project experience in Python and SQL.
" Python experience for Airflow scripting, data transformation, and automation.
" Good understanding of ETL concepts and data pipeline automation.

Good to have:
" Experience with Cloud Platforms (AWS or Azure).
" Experience in building custom Airflow operators and plugins for workflow automation.
" Experience working with SQL and PL/SQL Procedures for data transformation, optimization, and querying.
" Experience in Big Data ecosystem using Hadoop/Scala/Spark/PySpark.
" Experience in data warehouse using any ETL tool.
" Experience in Unix shell scripting.

Other Relevant Experience:
" Experience in software development life cycle.
" Working in an agile environment, works on new systems development and enhancement/maintenance of existing systems.
" Ability to work in team in diverse/ multiple stakeholder environment.
" Preferred - Experience in Telecom Domain

Minimum Years of Experience:
7 years

Certifications Needed:
No.

Top 3 responsibilities you would expect the Subcon to shoulder and execute:
" Expert knowledge of data modeling concepts, data warehouse and data aggregation processes and strategies
" You should be a stand out colleague and have a positive outlook, with the personality to work with the development committee present to business or IT senior managers as required
" Expert knowledge of data modeling concepts, data warehouse and data aggregation processes and strategies

Interview Process (Is face to face required?)
No

Any additional information you would like to share about the project specs/ nature of work:
Drug test details: No
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