Data Engineer

Engineering · Karachi, Sindh
Department Engineering
Employment Type Full-Time
Minimum Experience Mid-level

Job Overview


We are looking for a 2+ years experienced Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection.


The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.


Responsibilities

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.


Experience

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.


Qualifications

We are looking for a candidate with 2+ years of relevant work experience and 

  • Bachelors or Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with AWS/Azure/GCP cloud services
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.


Additional Preference will be given to candidates that have experience with

  • Big data tools: Hadoop, Spark, Kafka, etc.
  • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Stream-processing systems: Storm, Spark-Streaming, etc.

Thank You

Your application was submitted successfully.

  • Location
    Karachi, Sindh
  • Department
    Engineering
  • Employment Type
    Full-Time
  • Minimum Experience
    Mid-level