Azure Data Engineer with Pyspark & Databricks
Top Benefits
About the role
We are looking for a highly skilled Azure Data Engineer with Pyspark & Databricks Required Skills Azure Data Engineers with expertise in databricks.
Should be experienced in python/spark notebooks.
Knowledge of Github.
big data tech (Spark, Hadoop) is required.
Data Orchestration Experience Is Required. Experience with Unity Catalog is good to have.
Roles & Responsibilities
- Will be working as Azure Data Engineer
- Should attend daily stand ups/ scrum calls/ quarterly PI
- Work with BSA and product team to understand project requirements.
- Create technical specification and source-to-target design mapping documents
- Write Pyspark code, perform unit testing and work with QA & Business testers for defect resolution
- Work with admins on code deployments
- Should coordinate and lead the offshore developers
Qualifications
- Expertise in Databricks is mandatory
- Hands-on experience in Python/Spark Notebooks
- Should have knowledge of Github
- Experience with Bigdata technologies like Spark and Hadoop is required
- Experience in Data orchestration is required
- Experience with Unity Catalog is good to have
Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Toronto, Ontario . Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Salary And Other Compensation Applications will be accepted until March 5th 2025.
The annual salary for this position is between CAD$ 100,000 K -$ 125,500K depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant.
Azure Data Engineer with Pyspark & Databricks
Top Benefits
About the role
We are looking for a highly skilled Azure Data Engineer with Pyspark & Databricks Required Skills Azure Data Engineers with expertise in databricks.
Should be experienced in python/spark notebooks.
Knowledge of Github.
big data tech (Spark, Hadoop) is required.
Data Orchestration Experience Is Required. Experience with Unity Catalog is good to have.
Roles & Responsibilities
- Will be working as Azure Data Engineer
- Should attend daily stand ups/ scrum calls/ quarterly PI
- Work with BSA and product team to understand project requirements.
- Create technical specification and source-to-target design mapping documents
- Write Pyspark code, perform unit testing and work with QA & Business testers for defect resolution
- Work with admins on code deployments
- Should coordinate and lead the offshore developers
Qualifications
- Expertise in Databricks is mandatory
- Hands-on experience in Python/Spark Notebooks
- Should have knowledge of Github
- Experience with Bigdata technologies like Spark and Hadoop is required
- Experience in Data orchestration is required
- Experience with Unity Catalog is good to have
Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 4 days a week in a client or Cognizant office in Toronto, Ontario . Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Salary And Other Compensation Applications will be accepted until March 5th 2025.
The annual salary for this position is between CAD$ 100,000 K -$ 125,500K depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant.