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Senior Data Engineer (Informatica & PySpark)

Incedo Inc

Hybrid in Pittsburgh, Pennsylvania • Today

Easy Apply

Full-time

130,000 - 140,000

Chief Technology Officer - Databricks Data & AI Platform

EPAM Systems

Remote • Today

Full-time

Chief Technology Officer - Databricks Data & AI Platform

EPAM Systems

Remote or New York, New York • Today

Full-time

Job Details

Skills

Informatica
PySpark
ETL
Hadoop
Data Engineering
Data Analysis

Summary

Senior Data Engineer (Informatica & PySpark)

Position Title: Senior Data Engineer

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.

Qualifications

Master’s or Bachelor’s degree in Computer Science or related field.
Strong problem-solving skills and ability to work in cross-functional teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10476889
Position Id: 9126021
Posted 12 hours ago

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Contact the job poster

Rahul Dalal

Recruiter @ Incedo Inc

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Job Details

Skills

Informatica
PySpark
ETL
Hadoop
Data Engineering
Data Analysis

Summary

Senior Data Engineer (Informatica & PySpark)

Position Title: Senior Data Engineer

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.