Senior Data Engineer
Qode View all jobs
Cincinnati, OH, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$110,000.0 - $165,300.0
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Artificial Intelligence
Data Analysis
JIRA
Big Data
Computer Programming
Databases
Data Architecture
Information Engineering
Extract Transform Load (ETL)
Data Mining
Database Theory
+15 more
Apache Hadoop
Hadoop Distributed File System
MapReduce
Apache Hive
Python (Programming Language)
Machine Learning
Systems Development Life Cycle
Sqoop
Data Streaming
Informatica Powercenter
Pyspark
Information Technology
AWS Data Analytics
Apache 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.
Senior Data Engineer (Informatica & PySpark)
- 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., * Master’s or Bachelor’s degree in Computer Science or related field.
- Strong problem-solving skills and ability to work in cross-functional teams.
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