Data Architect

1 week ago

Karachi, Sindh, Pakistan beBee Careers Full time
Data Engineer Position

This role is designed for individuals who excel in data engineering, with a strong focus on designing, developing, and maintaining large-scale data systems. As a Data Engineer, you will play a crucial part in ensuring the availability, scalability, and reliability of our data infrastructure.

Key Responsibilities:
  • Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
  • Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.
  • Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
  • Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
  • Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
  • Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
  • Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.
  • Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • At least 6 years of experience as a Data Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
  • Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
  • Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
  • Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
  • Familiarity with data integration and workflow management tools such as Apache Airflow
  • Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
  • Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Attention to detail and a strong commitment to delivering high-quality work within established timelines.

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