Big Data Engineer - W2 Requirement

Overview

On Site
Depends on Experience
Full Time

Skills

ECS
Kinesis
IAM
RDS PostgreSQL
Dynamodb
Timeseries database
CloudWatch Events
SQL
Presto
HIVE

Job Details

Role: Big Data Engineer
Location: Malvern, PA OR Charlotte, NC
Duration: Long Term Contract
Years of experience 9 to any
Mode: Hybrid - W2
No H1b No OPT NO CPT

Role may sit in Charlotte or Malvern.

Ideal candidates are able to come onsite for an interview.

Please provide LinkedIn profile info as well.

Qualifications

  • Proficiency in Python programming
  • Strong expertise in SQL, Presto, HIVE, and Spark
  • Knowledge of trading and investment data
  • Experience in big data technologies such as Spark and developing distributed computing applications using PySpark
  • Experience 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 Python
  • Follow 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 skills
  • Proficiency in data visualization tools and ability to create visual representations of data, particularly using Tableau

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