Senior Data Infrastructure Engineer

7 days ago


Lahore, Punjab, Pakistan beBee Careers Full time
Job Requirements

We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have expertise in designing and developing efficient and scalable data pipelines using tools like Airbyte, Airflow, and dbt.

The successful candidate will have hands-on experience with data engineering tools and platforms, including Snowflake, Airbyte, Airflow, and Terraform, and a solid understanding of data warehousing, data pipelines, and database management.

Key Responsibilities
  1. Data Pipeline Development: Design, build, and maintain efficient and scalable data pipelines using tools like Airbyte, Airflow, and dbt.
  2. Data Warehousing Optimization: Manage and optimize data warehousing solutions using Snowflake, ensuring data is organized, secure, and accessible for analysis.
  3. Automation and Workflow Implementation: Develop and implement automations and workflows to streamline data processing and integration, ensuring seamless data flow across systems.
  4. Cross-Functional Collaboration: Collaborate with cross-functional teams to set up and maintain data infrastructure that supports both engineering and analytical needs.
  5. Big Data Processing: Utilize Databricks and Spark for big data processing, ensuring data is processed, stored, and analyzed efficiently.
  6. Data Monitoring: Monitor data streams and processes using Kafka and Monte Cristo, ensuring data quality and integrity.
  7. Data Visualization: Work closely with data analysts and other stakeholders to create, maintain, and optimize visualizations and reports using Tableau, ensuring data-driven decision-making.
  8. Data Security: Ensure the security and compliance of data systems, implementing best practices and leveraging tools like Terraform for infrastructure management.
  9. Process Improvement: Continuously evaluate and improve data processes, staying current with industry best practices and emerging technologies, with a strong emphasis on data analytics and visualization.
Requirements
  • SQL Proficiency: Proficiency in SQL and experience with data visualization tools such as Tableau.
  • Data Engineering Tools: Hands-on experience with data engineering tools and platforms including Snowflake, Airbyte, Airflow, and Terraform.
  • Programming Skills: Strong programming skills in Python and experience with data transformation tools like dbt.
  • Big Data Frameworks: Familiarity with big data processing frameworks such as Databricks and Apache Spark.
  • Data Streaming Platforms: Knowledge of data streaming platforms like Kafka.
  • Data Observability Tools: Experience with data observability and quality tools like Monte Cristo.
  • Data Warehousing: Solid understanding of data warehousing, data pipelines, and database management, with specific experience in Snowflake.
  • Automation and Workflow Development: Ability to design and implement automation, workflows, and data infrastructure.
  • Analytical Skills: Strong analytical skills with the ability to translate complex data into actionable insights, particularly using Tableau.
  • Problem-Solving Abilities: Excellent problem-solving abilities and attention to detail.
Benefits
  • Competitive salary
  • Medical
  • Educational courses

At our organization, we value diversity and are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.



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