Sr. Data Engineer (W2 Role)

Overview

On Site
$50 - $60
Contract - W2

Skills

Amazon Web Services
Apache Cassandra
Apache Flink
Apache Hadoop
Apache Parquet
Apache Spark
Big Data
Data Engineering
Data Lake
Data Modeling
Python
PostgreSQL
JSON
Data Structure
Java
NoSQL
Oracle
Roadmaps
Generative Artificial Intelligence (AI)

Job Details

Sr.Data Engineer (W2 Role - -EAD only)

Location: New York

ob Description :-

Required Skills:

1.Proficiency in data engineering programming languages (preferably Python, alternatively Scala or Java)
2. Proficiency in atleast one cluster computing frameworks (preferably Spark, alternatively Flink or Storm)
3. Proficiency in atleast one cloud data lakehouse platforms (preferably AWS data lake services or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres, Oracle or similar) and atleast one NOSQL data stores (Cassandra, Dynamo, MongoDB or similar)
Proficiency in atleast one scheduling/orchestration tools (preferably Airflow, alternatively AWS Step Functions or similar)
4. Proficiency with data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), big-data storage formats (Parquet, Iceberg, or similar), data processing methodologies (batch, micro-batching, and stream), one or more data modelling techniques (Dimensional, Data Vault, Kimball, Inmon, etc.), Agile methodology (develop PI plans and roadmaps), TDD (or BDD) and CI/CD tools (Jenkins, Git,)
Strong organizational, problem-solving and critical thinking skills; Strong documentation skills

Preferred skills:

Experience using AWS Bedrock APIs
Knowledge of Generative AI concepts (such as RAG, Vector embeddings, Model fine tuning, Agentic AI)
Experience in IaC (preferably Terraform, alternatively AWS cloud formation)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.