Senior Data Systems Engineer: AWS, Snowflake & Big Data

Comunidade Metodista

Indiana (PA)

On-site

USD 110,000 - 150,000

Full time

7 days ago
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Job summary

DBA Web Technologies is hiring a Data Systems Engineer in Charlotte, NC to design and implement data-driven solutions across an enterprise data lake. You will work with AWS, Snowflake, RedShift, and big data tools to ingest, transform, and migrate data from diverse sources.

The role emphasizes collaboration with PMs, engineers, data scientists, and analysts, and requires strong coding skills in Python/Scala/Java, plus experience with CI/CD and DevOps practices.

Qualifications

  • Bachelor's degree in computer science or a related field; master's preferred.
  • Experience with AWS, Glue, Lambda, EMR and Snowflake/RedShift.
  • Proficient in Python, Scala or Java.
  • Experience with Hadoop ecosystem and big data tools: Spark, Kafka, Hive, API handling.

Responsibilities

  • Design, develop, test, and implement data-driven solutions to meet business requirements.
  • Ingest data from multiple sources into an Enterprise Data Lake in a hybrid environment.
  • Build and optimize end-to-end data pipelines for real-time and batch processing.
  • Deploy application code and analytics models using CI/CD tools; support deployed data apps.
  • Collaborate with PMs, engineers, data scientists, and reporting teams.
  • Research open-source components and integrate them into the design.
  • Communicate clearly with data providers, engineers, and analysts to align goals.

Skills

AWS
Glue
Lambda
EMR
Snowflake
RedShift
Python
Scala
Java
Hadoop
Spark
Kafka
Hive
API Handling
API Development
Data Pipeline Development
Data Migration
Oracle
SQL Server
Batch Data Pipelines
Agile

Education

Bachelor's degree in Computer Science
Master's degree preferred

Tools

Jenkins
GitHub
CI/CD

Job description

DBA Web Technologies is hiring a Data Systems Engineer in Charlotte, NC to design and implement data-driven solutions across an enterprise data lake. You will work with AWS, Snowflake, RedShift, and big data tools to ingest, transform, and migrate data from diverse sources.

The role emphasizes collaboration with PMs, engineers, data scientists, and analysts, and requires strong coding skills in Python/Scala/Java, plus experience with CI/CD and DevOps practices.

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