High Priority Position: Azure Data Engineer with SQL, Databricks, Pyspark, SparkSQL, ADLS Exp. at IL || Day One Onsite
Babu S
Hope you are doing great today...
This is BABU, BDM FROM PANTAR SOLUTIONS INC, we are an Information Technology and Business Consulting firm specializing in Project-based Solutions and Professional Staffing Services. Please have a look at below position which is with our Client and let me know your interest ASAP. I would really appreciate if you could send me your MOST RECENT UPDATED RESUME:
Position: Azure Data Engineer with SQL, Databricks, Pyspark, SparkSQL, ADLS Exp.
Location: Chicago, IL
Duration: 6-12 Months
· 5+ years of experience in a Data Engineer role, with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
· Very good knowledge in
- SQL (7+ out of 10)
- Databricks on Azure (7+ out of 10)
- PySpark (7+ out of 10)
- SparkSQL (7+ out of 10)
- Azure/ADLS (7+ out of 10)
· Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
· Great numerical and analytical skills
· Data engineering certifications/Azure is a plus
· Create and maintain optimal data pipeline architecture
· Analyze and organize raw data
· Write pseudo code
· Combine raw information from different sources
· Explore ways to enhance data quality and reliability
· Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
· Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
· Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
· Experience supporting and working with cross-functional teams in a dynamic environment.
· Build processes supporting data transformation, data structures, metadata, dependency, and workload management
PLEASE NOTE:
If for any reason this does not interest you or you felt uncomfortable by any part of this email, I sincerely apologize. Please consider this E-mail as a request for referrals and feel free in forward this email to anyone whom you might find a fit.