Data Engineering Analyst - Sydney, Australia - Cognizant Technology Solutions

Cognizant Technology Solutions
Cognizant Technology Solutions
Verified Company
Sydney, Australia

1 week ago

Olivia Brown

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Olivia Brown

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Description

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.

At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful.

Moreover, this is your chance to be part of the success story.


Position Summary:


Mandatory Skills:


  • Proficiency in SQL, python, and shell scripting.
  • Strong knowledge and working experience of AWS Cloud technologies is required, specially S3, Lambda, EC2, and EMR services.
  • Strong knowledge of data modelling concepts.
  • Strong knowledge and experience in Data Warehousing.
  • Good experience of building BI reports and dashboards using Tableau and / or microstrategy.
  • Prior experience with extracting and transforming data from Salesforce and / or Landmark will be useful.
  • Thorough experience in building ETL pipelines and jobscheduling using Crontab and other scheduling tools like Airflow.
  • Strong handson knowledge on implementing Data pipeline following best practices of CI-CD DevOps practices.
  • Knowledge of data lakehouse architecture, experience with Databricks and /or Teradata.

Duties and Responsibilities:


  • Analyze and define customer requirements, ensuring a clear understanding of project objectives and expectations.
  • Provide accurate development effort estimates to assist management in project planning.
  • Gathering reporting requirements from business team and conducting workshops with data source teams to analyze the available data.
  • Preparing high level and low level technical and functional design documents/ data models covering the business requirements.
  • Design, code, test, document, and maintain highquality data solutions, whether onpremises or in the cloud.
  • Design and engineer innovative cloudbased solutions across the cloud services.
  • Developing ingestion frameworks, data pipeline to ingest and transform data into the Data Warehouse from various platforms like Salesforce, Google Ad Manager, and Landmark.
  • Developing Tableau dashboards with the ingested data, based on the business requirement.
  • Working with Quality Assurance team and business team to ensure all deliveries met defined quality standards and fit for purpose.

Salary Range:
>$100,000


#LI-CTSAPAC

Employee Status :
Full Time Employee


Shift :
Day Job


Travel :
No


Job Posting :
Nov

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