Data Engineer
3 weeks ago
About the Role We are looking for a highly skilled and motivated Data Engineer / Streaming Engineer to join our team. This role is central to building and supporting scalable, secure, and repeatable data pipelines that power intelligent decision‑making. You’ll work in an agile environment, integrating diverse data sources and leveraging emerging technologies across big data and cloud platforms to deliver innovative solutions. Software development is essential for this role Key Responsibilities Architect and implement scalable data analytics frameworks. Translate complex functional and technical requirements into high‑performing software solutions. Lead the development of batch and real‑time data pipelines using transformational technologies. Create and support data feeds from on‑premise systems to Google Cloud Platform. Build data marts using Talend or similar ETL tools. Manipulate and process data using Python and PySpark/Spark. Leverage AWS services such as EMR, EC2, and S3 for big data processing. Support production data feeds and troubleshoot issues on a break‑fix basis. Contribute to the research, evaluation, and implementation of new tools and technologies. Ensure compliance with policies, standards, and disaster recovery protocols. Collaborate across teams to deliver robust data solutions aligned with business needs. Required Experience & Skills Bachelor’s degree in Computer Science, Computer Engineering, or equivalent. AWS Certification (preferred). 5+ years of experience in data engineering and software engineering. 2+ years of experience with big data technologies. 2+ years of experience with ETL processes and tools (e.g., Talend). 2+ years of hands on experience with GCP - Google Cloud Platform is ESSENTIAL Strong programming skills in Python and scripting languages. Experience with PySpark or Spark for distributed data processing. Deep understanding of data modeling and various data structures. Proven ability to architect scalable distributed systems using open‑source tools. Familiarity with Hadoop and AWS EMR. Knowledge of automated testing and deployment practices. Technologies You’ll Work With Big Data Tools : Hadoop, Spark, PySpark ETL Tools : Talend Languages : Python, scripting languages Data Processing : Batch and streaming pipelines Work on impactful, data‑driven projects using the latest technologies. Be part of a collaborative and innovative team. Opportunities for continuous learning and professional growth. Competitive compensation and benefits. Seniority level Mid‑Senior level Employment type Full‑time Job function Consulting, Information Technology, and Engineering Industries Outsourcing and Offshoring Consulting, Software Development, and IT Services and IT Consulting Referrals increase your chances of interviewing at Dariel by 2x #J-18808-Ljbffr
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