What You’ll Be Doing:
- Build complex ETL code.
- Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL.
- Work on Data and Analytics Tools in the Cloud.
- Develop code using Python, Scala, R languages.
- Work with technologies such as Spark, Hadoop, Kafka, etc.
- Build complex Data Engineering workflows.
- Create complex data solutions and build data pipelines.
- Establish credibility and build impactful relationships with our customers to enable them to be cloud advocates.
- Capture and share industry best practices amongst the community.
- Attend and present valuable information at Industry Events.
Qualifications & Experience:
- Bachelor's degree in computer science, Information Technology, or a related field.
- 3+ years design & implementation experience with distributed applications.
- 2+ years of experience in database architecture and data pipeline development.
- Strong understanding of data modeling, ELT, ETL processes, data lakes, and data warehousing concepts.
- Proficiency with AWS services such as S3, Redshift, Glue, RDS, DyanmoDB, EMR, Lambda, Kinesis, and Athena.
- Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark).
- Experience with programming languages such as SQL, Python, or Scala.
- Presentation skills with a high degree of comfort speaking with executives, IT management, and developers.
- Excellent communication skills with an ability to hold the right level conversations.
- Demonstrated ability to adapt to modern technologies and learn quickly.
- Certification in AWS (e.g., AWS Data Engineer Associate, AWS Solutions Architect Associate) is preferred.
- #LI-JB2
- #LI-Remote
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