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Data Warehouse Engineer-SQL

No of Positions  No of Positions:   2

location Location: Pune

date Tentative Start Date:   October 31, 2022

Work From Work From : Any Location

rate Rate : $ 12  -  24 (Hourly)

experience Experience : 7 to 11 Year

Job Applicants : 8
Job Views : 275
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Job Category : Information Technology & Services
Duration : 3-6  Month
Key Skills Required Skills
SQL data warehousing object or Python

Key R&R-

  • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
  • Build and implement scalable solutions that align to our data governance standards and architectural roadmap for data integrations, data storage, reporting, and analytic solutions.
  • Design and develop data integrations and a data quality framework. Write unit/integration/functional tests and document work.
  • Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.


Required Skills:


  • Experience with a variety of database technologies and data warehouse schema design patterns (snowflake and star in particular).
  • Design and Development experience of an EDW,
  • Experience with cloud-based databases, specifically AWS technologies (e.g., Redshift, RDS, S3, EMR, EC2, Kinesis) is a plus. Experience using SQL queries as well as writing and optimizing SQL queries in a business environment with large-scale, complex datasets.
  • Experience creating ETL and/or ELT jobs.
  • Experience with Agile software development methodologies.
  • Excellent problem solving and troubleshooting skills.
  • Process oriented with great documentation skills.
  • Proficient in object-oriented programming (Python in particular).
  • Experience with DevOps methodologies and tools (e.g., Git, Artifactory, etc.).
  • Experience developing in a Unix/Linux environment.
  • Experience a plus developing integrations across multiple systems and APIs .
  • Experience a plus with Big Data tools like Spark, Hadoop, Kafka, etc
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