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Data Engineer

Job Code: ASLDE
Location:
Experience:
Required Experience :
  • B.Tech. (CSE, IT,ECE or Equivalent) MScs. (CSE or Equivalent)/ MCA
  • 1+ years of experience programming with at least one of the following languages: Python, Scala, Go.
  • 1+ years of experience in SQL and data transformation
  • 1+ years of experience in developing distributed systems using open source technologies such as Spark and Dask.
  • 1+ years of experience with relational databases or NoSQL databases running in Linux environments (MySQL, MariaDB, PostgreSQL, MongoDB, Redis).
  • Experience working with AWS / Azure / GCP environment is highly desired.
  • Experience in data models in the Retail and Consumer products industry is desired.
  • Experience working on agile projects and understanding of agile concepts is desired.
  • Demonstrated ability to learn new technologies quickly and independently.
  • Excellent verbal and written communication skills, especially in technical communications.
  • Ability to work and achieve stretch goals in a very innovative and fast-paced environment.
  • Ability to work collaboratively in a diverse team environment
Good-to-have Experience :
Not Available
Job Responsibilities :
  • Build data pipeline frameworks to automate high-volume and real-time data delivery for our data hub.
  • Operationalize scalable data pipelines to support data science and advanced analytics.
  • Optimize customer data science workloads and manage cloud services costs/utilization.
  • Licenses/Certifications, special qualifications: GCP Certification is highly desired
  • Play a critical role in the design and implementation of data platforms for the AI and data visualization products.
  • Develop productized and parameterized data pipelines that feed AI products leveraging GPUs and CPUs.
  • Develop efficient data transformation code in Python or other relevant language.
  • Build workflows to automate data pipeline using Python, Airflow, Dataflow etc.
  • Develop data validation tests to assess the quality of the input data.
  • Conduct performance testing and profiling of the code using a variety of tools and techniques.
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