Senior Data Engineer

Job not on LinkedIn

🕒 3 days ago

🏈 Ohio, Pennsylvania – Remote

🏈 Ohio – Remote 🔔 Pennsylvania – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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qode.world

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

👥 HR Tech

🎯 Recruiter

Artificial Intelligence • HR Tech • Recruitment

qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results.

📋 Description

• 8–10 years in Data Engineering and Data Analysis. • Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization. • Advanced skills in PySpark for large-scale data processing, transformation, and analytics. • Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce). • Proficiency in Python and Kafka for streaming and batch data pipelines. • Strong understanding of database concepts, data design, data modeling, and ETL workflows. • Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading. • Hands-on experience with Agile methodology and Jira for project delivery. • Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC. • Exposure to AWS data components and analytics. • Familiarity with machine learning models and AI concepts. • Experience with data modeling tools such as Erwin.

🎯 Requirements

• 8–10 years in Data Engineering and Data Analysis. • Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization. • Advanced skills in PySpark for large-scale data processing, transformation, and analytics. • Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce). • Proficiency in Python and Kafka for streaming and batch data pipelines. • Strong understanding of database concepts, data design, data modeling, and ETL workflows. • Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading. • Hands-on experience with Agile methodology and Jira for project delivery. • Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC. • Master’s or Bachelor’s degree in Computer Science or related field. • Strong problem-solving skills and ability to work in cross-functional teams.