Senior Data Engineer

Qode LLC
Cleveland, United States of America
6 days ago

Role details

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

Job location

Cleveland, United States of America

Tech stack

Agile Methodologies
Artificial Intelligence
Data analysis
JIRA
Big Data
Computer Programming
Databases
Data Architecture
Information Engineering
ETL
Data Mining
Database Theory
Hadoop
Hadoop Distributed File System
MapReduce
Hive
Python
Machine Learning
Systems Development Life Cycle
Sqoop
Data Streaming
Informatica Powercenter
PySpark
Amazon Web Services (AWS)
Kafka
Data Pipelines

Requirements

  • Experience: 8-10 years in Data Engineering and Data Analysis.

  • Informatica Expertise: Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization.

  • PySpark Development: Advanced skills in PySpark for large-scale data processing, transformation, and analytics.

  • Hadoop Ecosystem: Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce).

  • Programming Skills: Proficiency in Python and Kafka for streaming and batch data pipelines.

  • Database & Modeling: Strong understanding of database concepts, data design, data modeling, and ETL workflows.

  • ETL Lifecycle: Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading.

  • Agile Delivery: Hands-on experience with Agile methodology and Jira for project delivery.

  • Client Interaction: Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC.

Preferred Skills:

  • Exposure to AWS data components and analytics.
  • Familiarity with machine learning models and AI concepts.
  • Experience with data modeling tools such as Erwin.

Apply for this position