Aurora On Database analyst Jobs – 32 Openings This Week

Senior Data Engineer
InnosysTech Inc —Toronto, ON
- $150,000–$160,000 a year
- Contract
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
1h
Teamcenter Technical Architect
Capgemini —Toronto, ON
- Contract
- Hybrid work
- Azure
- Oracle
- Computer Science
Sr Guidewire Developer -PolicyCenter
Aviva —Markham, ON
- $110,000–$130,000 a year
- Hybrid work
- Computer Science
- Engineering
- Maintenance
Guidewire Developer - Rating / Pricing
Aviva —Markham, ON
- $85,000–$105,000 a year
- Hybrid work
- Computer Science
- Engineering
- Java
Senior Business Analyst, Deployment
Metrolinx —Canada
- $93,798 a year
- Full-time
- Microsoft Powerpoint
- Computer Science
- PMP
3d

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Data Architect
Morson Talent (Canada & USA) —Oshawa, ON
Requires an extensive knowledge in designing a data model to solve a business problem, specifying a data pipeline design pattern to bring data into a data…
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Junior Systems Optimization Analyst
Warehousing & Distribution —Scarborough, ON
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Senior Data Engineer

InnosysTech Inc
Toronto, ON

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Job details

Contract
$150,000–$160,000 a year
1 hour ago

Qualifications

Azure
Big data
SQL
Pandas
AWS
Scripting
S3
Linux
JSON
Informatica
Python
PowerShell

Full job description

Overview
We are seeking a highly skilled Senior Databricks Engineer to join our dynamic data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data warehousing solutions. This role requires a strong background in big data technologies, cloud platforms, and database management to support advanced analytics and business intelligence initiatives. The Senior Data Engineer will collaborate closely with data scientists, analysts, and stakeholders to ensure data integrity, accessibility, and security in a fast-paced environment

MUST HAVES:

· Data engineering (pandas, pyspark)

· Data lakehouse solutions such as Databricks (Delta Lake).

· Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data

· Experience using AWS Services such as Glue, StepFunctions, Lambda, S3

· Extract/Transform/Load data using tools such as Informatica IDMC

Skills

Experience and Skill Set Requirements

Data engineering Experience

Programming & scripting: Python, SQL, Linux shell, PowerShell.

Data manipulation/analysis using pandas and pyspark.

Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data

40%

Cloud experience

AWS and/or Azure services.

Cloud data warehouse solutions such as AWS Redshift.

Data lakehouse solutions such as Databricks (Delta Lake).

Data processing orchestration/automation

25%

Data Warehouse

ETL tools (such as Azure Data Factory, AWS Glue) as well as cloud agnostic tools such as Informatica IDMC.

Data modeling & architecture: relational and dimensional modeling.

Data reporting/visualization.

25%

Description / Responsibilities / Skills

Responsibilities:

Design, develop, test, implement, and troubleshoot:

· data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue

· complex data transformation procedures

· data models for data warehouses and lakehouses

Pay: $150,000.00-$160,000.00 per year

Experience:

Python, SQL, pandas, and PySpark?: 10 years (required)
Databricks / Delta Lake / Lakehouse: 8 years (required)

Work Location: Hybrid remote in Toronto, ON M2M 4J3

Quick apply

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database analyst jobs in aurora on

Senior Data Engineer

Teamcenter Technical Architect

Sr Guidewire Developer -PolicyCenter

Guidewire Developer - Rating / Pricing

Senior Business Analyst, Deployment

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