Data Engineer

4 weeks ago

Lahore, Punjab, Pakistan Digifloat Full time

Job description

Digifloat is looking for a passionate, motivated, eager to learn data enthusiast.

Responsibilities:

  1. Turn raw data into trustworthy analytical datasets, that decrease time to market towards insights and reduce the cost of data consumption.
  2. Manage these datasets (and the related data pipelines) as a product with all the responsibilities that come with it:
  3. Contribute to the data product roadmap, which we prioritize as a team on a quarterly basis to fuel the overall company roadmap and initiatives with analytics.
  4. Fit our data products with the overall data architecture, governance, standards, and guidelines design, build and test our data products.
  5. Meet the functional & non-functional requirements.
  6. Meet the high standards for data ingestion, processing & storage.
  7. Apply the right level of trust (quality, privacy, security) for their purpose.
  8. Communicate on a regular basis to our stakeholders to increase data product awareness & usage.
  9. Strive continuously to reduce manual or repetitive efforts through data innovation & automation.
  10. Co-create on our big value transformation cases together with data & analytics experts (like insights & reporting analysts, data scientists, application owners, functional/business analysts, data architects…).
  11. Work in a young and dynamic team of data analysts and engineers, operating in a self-organizing agile at company scale context.
  12. The variety of "data related" work can be very broad from purely technical, to more functional or a combination of both, which makes it possible for people to perform a job which fits their interest and makes it also possible to change and evolve.
  13. You work with large volumes of network and viewing data.

Requirements:

  1. + years of experience in a Data Engineering role.
  2. Master or bachelor's degree in Computer Science (or equivalent through experience).
  3. You have proven experience in:
  4. Existing and upcoming Data technologies (Hadoop, Scala, Spark, Kafka, SQL, Flink, Cassandra, ELK, ...) and like to stay in touch with new evolutions.
  5. Designing and building cloud-based data solutions and more specifically with AWS (IAM, S3, Glue, EMR, EKS, Sagemaker, …).
  6. Knowledge or experience of the following technologies is a plus. If you don't master these yet, don't worry We can provide tailored inhouse training and coaching when required:
  7. System administration with Unix/Linux and knowledge of Docker or Kubernetes and containerization.
  8. Knowledge of proven software development best practices (coding standards, CI/CD, infrastructure as code).
  9. You are eager to learn and like variation in your job working on different scopes.
  10. You have a knack for spotting optimization potential and know how to realize it with robust engineering.
  11. You possess good communication skills. You feel comfortable challenging others.
  12. The ability to get things done and take end-to-end ownership.
  13. You are pragmatic in your approach. You use the right techniques to provide the needed quality and detail while avoiding complex solutions.

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