Overview
On Site
$40 - $60
Contract - W2
Skills
WS Big Data Engineer (
Job Details
AWS Big Data Engineer (Charlotte, NC) Nearby Inperson Interview
10+ Years
Notes:
- AWS services on big data platforms
- Hands-on experience with AWS, Spark, Glue, Python, and Linux
- Knowledge of Tableau
- Machine Learning skills
- Investment knowledge
Qualifications
- Proficiency in Python programming
- Strong expertise in SQL, Presto, HIVE, and Spark
- Knowledge of trading and investment dataE
- xperience in big data technologies such as Spark and developing distributed computing applications using PySparkExperience with libraries for data manipulation and analysis, such as Pandas, Polars and NumPy
- Understanding of data pipelines, ETL processes, and data warehousing concepts
- Strong experience in building and orchestrating data pipelines
- Experience in building APIs Write, maintain, and execute automated unit tests using PythonFollow Test-Driven Development (TDD) practices in all stages of software development
- Extensive experience with key AWS services/components including EMR, Lambda, Glue ETL, Step Functions, S3, ECS, Kinesis, IAM, RDS PostgreSQL, Dynamodb, Timeseries database, CloudWatch Events/Event Bridge, Athena, SNS, SQS, and VPC
- Proficiency in developing serverless architectures using AWS services
- Experience with both relational and NoSQL databases
- Skills in designing and implementing data models, including normalization, denormalization, and schema design
- Knowledge of data warehousing solutions like Amazon Redshift
- Strong analytical skills with the ability to troubleshoot data issues
- Good understanding of source control, unit testing, test-driven development, and CI/CD
- Ability to write clean, maintainable code and comprehend code written by others
- Strong communication skillsProficiency in data visualization tools and ability to create visual representations of data, particularly using Tableau
AWS Big Data Engineer (Charlotte, NC) Nearby Inperson Interview Vanguard
10+ Years
Notes:
- AWS services on big data platforms
- Hands-on experience with AWS, Spark, Glue, Python, and Linux
- Knowledge of Tableau
- Machine Learning skills
- Investment knowledge
Qualifications
- Proficiency in Python programming
- Strong expertise in SQL, Presto, HIVE, and Spark
- Knowledge of trading and investment dataE
- xperience in big data technologies such as Spark and developing distributed computing applications using PySparkExperience with libraries for data manipulation and analysis, such as Pandas, Polars and NumPy
- Understanding of data pipelines, ETL processes, and data warehousing concepts
- Strong experience in building and orchestrating data pipelines
- Experience in building APIs Write, maintain, and execute automated unit tests using PythonFollow Test-Driven Development (TDD) practices in all stages of software development
- Extensive experience with key AWS services/components including EMR, Lambda, Glue ETL, Step Functions, S3, ECS, Kinesis, IAM, RDS PostgreSQL, Dynamodb, Timeseries database, CloudWatch Events/Event Bridge, Athena, SNS, SQS, and VPC
- Proficiency in developing serverless architectures using AWS services
- Experience with both relational and NoSQL databases
- Skills in designing and implementing data models, including normalization, denormalization, and schema design
- Knowledge of data warehousing solutions like Amazon Redshift
- Strong analytical skills with the ability to troubleshoot data issues
- Good understanding of source control, unit testing, test-driven development, and CI/CD
- Ability to write clean, maintainable code and comprehend code written by others
- Strong communication skillsProficiency in data visualization tools and ability to create visual representations of data, particularly using Tableau
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