Job Location: Arizona
USA-Arizona
Exp 5 – 10 Years
Key Skills
Hadoop
Spark
SQL
Python
BigQuery
Responsibilities
- The candidate should have minimum 3+ years of working experience as a Data Engineer
- Ability to understand data frameworks that collect, manage, transform, and store data to derive business insights
- Must have 2+Data Engineer years of experience within the Big Data ecosystem(Hadoop, SqoopHive, Spark, Pig, etc.)
- Must have 2+ years of strong experience with SQL and Python(Data Engineering focused)
- Preferred to have experience with Google Cloud data services such as BigQuery, Dataflow, Dataproc, etc.
- Any prior experience in ETL tools such as DataStage, Informatica, DBT, Talend, etc., will be an added advantage
- Should have SQL skills that include performance-tuning, clustering, indexing, modeling, database optimizing, etc.
- Ability to handle huge datasets and perform quick data analysis to extract insights from raw data for sharing with clients
- Should be able to code (Python preferred) for developing new applications (cloud functions, dataflow, etc.) and also a lot of existing workloads needs to be updated frequently
- Advanced knowledge in data visualization tools with a grasp of effective data modeling and visualization practices
- Domain-specific knowledge infrastructure, VMWare space (VMs, Datastore, and Hosting servers)
- Good team player, quick learner, capable to work in high-demand work environments, and ready to accept and take on challenges
- Ability to quickly adapt to new tools and evolving technologies
- Good communication skills with the ability to work in large teams and interact with technical teams
Submit CV To All Data Science Job Consultants Across United States For Free
