Can you think outside the box?

Data Engineer

Do you like to be on the forefront of Data Engineering? Do you see yourself collaborating with a team of world class, like-minded individuals to work on the latest tech trends conceptualized in the US? Join us on our venture (pun intended!) that will enable you to reach your true potential and reward yourself with the career you always wanted.

Your Role

  • Carry out research-oriented development & implementation of Data Warehousing and Big Data solutions
  • Research, test, and recommend architectures, tools, and technologies as needed based on project objectives and deliverables
  • Take ownership of understanding the overall product and solution so that all decisions are based on delivering value to clients with minimal disruptions
  • Continuously up-skill team and yourself on the latest technologies in this growing space whilst considering scalability, stability, and management costs/requirements of projects
  • Consider the real-time vs batch processing requirements and storage considerations when working with data lakes and high-volume data sources based on delivering value to clients with minimal disruptions

Key Tasks

  • Detail-level design and development of data processing and ETL (extract, transform & load) requirements using MS stack (on-prem and cloud) components and tools such as:
    • SSIS
    • SSRS
    • Blob Storage
    • Azure Data Factory
    • Azure Analytical Services
    • Power BI
  • Detail-level design and development of data models on data warehouses and big data platforms
  • Plan and automate ETL components to be executed on required frequencies with minimal impact on source systems
  • Monitor and tune ETL processes and complex data processing components to improve performance and to provide better user-experience to data consumers
  • Unit testing and documentation of data ETL flows, complex processing and data modeling components
  • Solve ongoing issues with ETL flows, complex processing and data modeling components
  • Develop end-user friendly reporting layers (models) to deliver dynamic reports and dashboards to end-users via Power BI or similar BI tools
  • Follow strict time-lines to deliver outcomes in a timely manner

Preferred Qualifications, Experience & Technical Skills

  • Relevant Degree in computer science or information technology
  • Proficient understanding of data warehousing, and distributed computing principles with at least 2 years of experience in a data engineering role
  • Deep knowledge of the MS stack (on-prem and cloud based); with experience in areas such as:
    • ETL techniques and frameworks
    • Database design and optimization
    • Datawarehouse tuning
    • Working with NoSQL databases such as HBase, Cassandra and MongoDB and other querying tools would be an added bonus
  • Ability to diagnose and solve issues with data pipelines and ETL operations to optimize performance and eliminate errors
  • Experience working in agile environments
  • Excellent analytical problem-solving skills
  • Sound knowledge of data modeling/understanding different data structures; and their benefits/limitations under different use cases
  • General understanding of statistics pertaining to data

What we offer

  • A competitive salary package
  • American-style working environment
  • Job security as a US-owned company
  • Flexible hours
  • Health Insurance
  • And many more…..