Kafka Data engineer (Talend) | Hybrid in Reading, PA & Tampa, FL please share locals | Sr candidates required 10+ years.

Responsibilities

• Define system scope/objectives and craft detailed specifications.
• Participate in data architecture and modeling, statistical/regression analysis, and best‑practice implementation.
• Collaborate with IT and business teams, working closely with senior members.
• Prepare functional specs, technical designs, and test plans.
• Build data pipelines: ingestion, integration, preparation, NLP, data‑warehouse/BI.
• Design and implement BI & analytics projects across hybrid environments (on‑prem/cloud).
• Support various data integration platforms and provide end‑user technical assistance.
• Maintain flexible attendance and comply with background checks and drug screenings.

Qualifications

• Bachelor’s in CS or equivalent experience.
• 5+ years in Data Engineering, with at least 4–5 years on Talend and Big Data.
• 3–5 years hands‑on in data engineering, visualization, or data science.
• 3–5 years working with distributed DBs and data lakes.
• Experience with Talend DI, microservices, CI/CD, Git/SVN, and complex transformations.
• Proficiency in SQL (DB2/Oracle/Greenplum/S3).
• Experience with Hadoop ecosystem (HBase, Hive, Pig, MapReduce, Sqoop, Spark).
• Familiarity with AWS or other cloud platforms.
• Proficient in programming languages like R, SAS, Python, Java, C/C++, Ruby, or Perl.

Nice‑to‑Haves

• Git/SVN experience for Talend artifact management.
• Experience with Talend environment deployments and migrations.