Senior Data Infrastructure Engineer

3 days ago

Lahore, Punjab, Pakistan beBee Careers Full time

About This Role

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  • Data Engineering is a key component of our data infrastructure, and we're seeking an experienced professional to lead this effort.
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Key Responsibilities:

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  • We are looking for someone with expertise in designing, building, and maintaining efficient and scalable data pipelines using tools like Airbyte, Airflow, and dbt, with a focus on integrating with Snowflake.
  • This role will involve managing and optimizing data warehousing solutions using Snowflake, ensuring data is organized, secure, and accessible for analysis.
  • The ideal candidate will develop and implement automations and workflows to streamline data processing and integration, ensuring seamless data flow across systems.
  • We are seeking a collaborative team player who can work closely with cross-functional teams to set up and maintain data infrastructure that supports both engineering and analytical needs.
  • This role will also involve utilizing Databricks and Spark for big data processing, ensuring data is processed, stored, and analyzed efficiently.
  • The successful candidate will monitor data streams and processes using Kafka and Monte Cristo, ensuring data quality and integrity.
  • Additionally, they will work closely with data analysts and other stakeholders to create, maintain, and optimize visualizations and reports using Tableau, ensuring data-driven decision-making.
  • The role requires ensuring the security and compliance of data systems, implementing best practices and leveraging tools like Terraform for infrastructure management.
  • A strong emphasis will be placed on continuously evaluating and improving data processes, staying current with industry best practices and emerging technologies, with a strong focus on data analytics and visualization.
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Requirements:

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  • Proficiency in SQL and experience with data visualization tools such as Tableau.
  • Hands-on experience with data engineering tools and platforms including Snowflake, Airbyte, Airflow, and Terraform.
  • Strong programming skills in Python and experience with data transformation tools like dbt.
  • Familiarity with big data processing frameworks such as Databricks and Apache Spark.
  • Knowledge of data streaming platforms like Kafka.
  • Experience with data observability and quality tools like Monte Cristo.
  • Solid understanding of data warehousing, data pipelines, and database management, with specific experience in Snowflake.
  • Ability to design and implement automation, workflows, and data infrastructure.
  • Strong analytical skills with the ability to translate complex data into actionable insights, particularly using Tableau.
  • Excellent problem-solving abilities and attention to detail.
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Benefits:

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  • Competitive salary.
  • Medical benefits.
  • Educational courses.
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We Value Diversity

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We 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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