Data Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

ELT
Data Quality
Database
Streaming
Collaboration
Analytics
Data Science
Reporting
Modeling
Workflow
Data Governance
Documentation
Computer Science
SQL
Relational Databases
Python
Java
Scala
Extract
Transform
Load
Data Warehouse
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Big Data
Apache Spark
Apache Hadoop
Apache Kafka
Version Control
Git
Continuous Integration
Continuous Delivery
Snow Flake Schema
Amazon Redshift
Data Security
Regulatory Compliance
Agile
Scrum

Job Details

Key Responsibilities

  • Design, develop, and maintain robust ETL/ELT data pipelines

  • Build and optimize data warehouses and data lakes

  • Ensure data quality, integrity, security, and performance

  • Integrate data from multiple sources (APIs, databases, files, streaming systems)

  • Collaborate with analytics and data science teams to support reporting and modeling needs

  • Monitor, troubleshoot, and optimize data workflows

  • Implement best practices for data governance and documentation

  • Support cloud-based data solutions and infrastructure


Required Skills & Qualifications (8 Year's)

  • Bachelor s degree in Computer Science, Engineering, or related field

  • Strong experience with SQL and relational databases

  • Hands-on experience with Python / Java / Scala

  • Experience with ETL tools and data pipeline frameworks

  • Knowledge of data warehousing concepts (star/snowflake schemas)

  • Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)

  • Familiarity with Big Data technologies (Spark, Hadoop, Kafka - preferred)

  • Understanding of version control (Git) and CI/CD practices


Preferred Qualifications

  • Experience with tools like Airflow, dbt, Snowflake, Redshift, BigQuery

  • Knowledge of data security and compliance standards

  • Experience in Agile/Scrum environments


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