Data Architecture Specialist

3 days ago


Lahore, Punjab, Pakistan Devsinc Full time
Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our team at Devsinc.

The ideal candidate will have in-depth knowledge of data architecture and engineering principles, along with hands-on experience in developing, optimizing, and maintaining large-scale data processing systems and databases.

This role is crucial to support our data-driven initiatives and to enhance the efficiency of our analytical capabilities.

Key Responsibilities:
  • Data System Design: Design and develop scalable data processing systems and data pipelines to facilitate the collection, storage, and analysis of large data sets.
  • Collaboration: Collaborate with data scientists, analysts, and other engineers to understand data requirements and architecture needs, and to ensure data is accessible and reliable.
  • Performance Optimization: Optimize data storage and retrieval performance while ensuring data integrity and security.
  • ETL Processes: Implement ETL (Extract, Transform, Load) processes and automate data workflows to improve efficiency and accuracy.
  • Monitoring: Monitor and troubleshoot data pipeline performance, addressing issues as they arise to minimize downtime.
  • Documentation: Maintain documentation for the data architecture, processes, and workflows to ensure smooth collaboration and knowledge transfer within the team.
  • Professional Development: Stay updated on emerging technologies and best practices in data engineering and contribute to the continuous improvement of data processes and systems.
Requirements:
  • Education: Bachelor's or master's degree in Computer Science, Engineering, or a related field.
  • Experience: A minimum of 3 years of experience in data engineering, data warehousing, or a related field.
  • Technical Skills: Strong proficiency in SQL and experience with NoSQL databases.
  • Programming Languages: Expertise in programming languages such as Python, Java, or Scala.
  • Big Data Technologies: Hands-on experience with big data technologies like Apache Hadoop, Spark, Kafka.
  • Cloud Platforms: Experience with cloud platforms (AWS, Azure, GCP), including data storage solutions like S3, Redshift, or BigQuery.
  • Data Modeling: Understanding of data modeling, ETL concepts, and data pipeline automation tools.
  • Soft Skills: Demonstrated problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
  • Communication: Excellent communication skills, with at least 2 years of international client communication experience.

If you're a passionate Data Engineer ready to take on significant responsibilities and contribute to innovative data solutions, we invite you to apply.



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