Data Engineer - AWS, python

JSR Tech Consulting; Newark (NJ); Hybrid; USD 82,656 - 96,432; Full time

Job summary

JSR Tech Consulting is seeking a contract position for a data engineering role hybrid model, 3 days per week in Newark, NJ. The ideal candidate will have a strong background in AWS services and data engineering, responsible for designing and implementing data ingestion pipelines and ensuring best practices.

This position offers a pay rate of $60 to $70 per hour based on experience. Candidates should possess a Bachelor's degree in a relevant field and have hands-on experience with Python and SQL.

Qualifications

• Experience implementing, supporting data lakes and data warehouses on AWS.
• Solid experience of AWS services such as CloudFormation, S3, Athena, Glue.
• Programming experience with Python, Shell scripting and SQL.

Responsibilities

• Design, build, and maintain efficient, reusable, and reliable architecture.
• Build reliable data ingestion pipelines within AWS.
• Collaborate with cross-functional teams to deliver projects throughout the software development cycle.

Skills

Python

AWS

SQL

Data Engineering

Shell scripting

ETL/ELT

Data lake architecture

Education

Bachelor's degree in computer science, Software Engineering, MIS

Tools

AWS CloudFormation

AWS Lambda

Amazon RDS

Amazon Redshift

Amazon S3

Kafka

Job description

Overview

Contract position with a major investment firm. Hybrid 3 days/week in Newark, NJ.

Qualifications

• Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
• Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises
• Programming experience with Python, Shell scripting and SQL
• Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
• Solid experience implementing solutions on AWS based data lakes.
• Good experience with AWS services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch
• Serverless application development using AWS Lambda
• Experience in AWS data lake/data warehouse/business analytics
• Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
• Knowledge of ETL/ELT
• End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
• Architect and implement CI/CD strategy for EDP
• Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)
• Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
• Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift
• Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case
• AWS Solutions Architect or AWS Developer Certification preferred
• Good understanding of Lakehouse/data cloud architecture

Responsibilities

• Designing, building and maintaining efficient, reusable, and reliable architecture and code.
• Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc.)
• Ensure the best possible performance and quality of high scale data engineering project
• Participate in the architecture and system design discussions
• Independently perform hands on development and unit testing of the applications.
• Collaborate with the development team and build individual components into complex enterprise web systems.
• Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle.
• Responsible to identify and resolve any performance issues
• Keep up to date with new technology development and implementation
• Participate in code review to make sure standards and best practices are met.

Pay rate: $60 - $70 per hour depending on experience.