Data Engineer

Innovity Incorporated
Indianapolis, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 133K

Job location

Indianapolis, United States of America

Tech stack

Java
API
Airflow
Amazon Web Services (AWS)
Azure
Big Data
Google BigQuery
Computer Programming
Databases
Continuous Integration
Data Architecture
Data Governance
ETL
Data Warehousing
DevOps
Hadoop
Python
PostgreSQL
MySQL
SQL Databases
Talend
Google Cloud Platform
Data Ingestion
Snowflake
Spark
Database Performance
Data Lake
Kubernetes
Information Technology
Kafka
Machine Learning Operations
Stream Processing
Data Pipelines
Docker
Redshift

Job description

  • Design, build, and maintain ETL/ELT pipelines for data ingestion and transformation
  • Develop and manage data architectures (data lakes, warehouses, and marts)
  • Ensure data quality, integrity, and reliability across systems
  • Optimize database performance and query efficiency
  • Integrate data from multiple sources (APIs, databases, third-party tools)
  • Collaborate with stakeholders to understand data requirements
  • Implement data governance and security best practices
  • Monitor and troubleshoot data workflows and pipelines, Description We are seeking a Senior Transmission Line Engineer who will work as a member of a dynamic team working in a fast paced environment, solving challenging problems invol…
  • 3 days ago

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field
  • Strong programming skills in Python, Java, or Scala
  • Experience with SQL and database technologies (PostgreSQL, MySQL, etc.)
  • Hands-on experience with ETL tools and frameworks (Airflow, Talend, dbt, etc.)
  • Familiarity with big data technologies (Spark, Hadoop, Kafka)
  • Experience with cloud platforms (AWS, Azure, or Google Cloud)
  • Knowledge of data warehousing concepts (Snowflake, Redshift, BigQuery)

Preferred Qualifications

  • Experience with real-time data streaming
  • Knowledge of data modeling techniques
  • Familiarity with DevOps practices (CI/CD, Docker, Kubernetes)
  • Understanding of machine learning pipelines

Benefits & conditions

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