Are you an experienced Data Engineering professional interested in working in a talented and collaborative team developing Cloud, Data and AI solutions for leading global clients? Do you regularly find yourself in conversations on disparate and dispersed data sources and feel the need to create a robust data engineering infrastructure to sort that mess out? If you have that technical expertise of building pipelines and enabling data engineering or ETL in organizations, a genuine flair for solving problems, and the mindset to collaborate with diverse clients and team members alike, we're looking for you.
Mandatory Skills: Databricks and Spark/PySpark (hands-on experience required).
Experience Level: Intermediate and Senior candidates are encouraged to apply.
Role Type: Hands-on individual contributor position focused on data engineering, development, and solution delivery.
Your future duties and responsibilities
As an Data Engineer (Databricks) on this team your responsibilities will include:
- Delivering on areas of data preparation and transformations and ETL or ELT development on Azure Azure Data Factory (ADF), Azure Databricks, Azure Data Lake (ADLS), Synapse, Azure SQL database, Azure SQL Datawarehouse or AWS AWS Glue, Amazon S3, Amazon Redshift, Amazon Athena, and Amazon RDS
- Building Batch and Streaming data pipelines with Databricks
- Working in a business environment with large scale, complex and big data datasets and dispersed data sources
- Using SQL or Advanced SQL and Python skills as necessary
- Gathering client requirements, coding and building Data Engineering pipelines in Azure
- Implementing proof of concepts to show value and then package and scale to full data engineering scale on both on prem and cloud environments
- Strategically collaborating with the clients to explore data sources and build Power BI dashboards with Azure/AWS Data Engineering
Supporting and collaborating with the other Data Engineers or Data Scientists in the team with technical knowledge
Required qualifications to be successful in this role
Essential skillsets and expertise needed:
- Azure/AWS + Databricks, Spark/Pyspark experience is mandatory
- Minimum 5+ years' experience in AWS/Azure Data Engineering is required to apply to this role
- Experience with building streaming pipelines on Azure/AWS
- Data analysis, storage, data pipelines, and orchestration
- Expert Python and SQL skills
- Experience working on Big Data
Nice to Have Qualifications
- Experience with Databricks Genie
- Experience with data engineering with ML projects
- Experience with data pipeline and workflow management tools eg. Airflow, Jenkins etc.
- Experience working with Spark/ Hive/HDFS
- Experience in building strong Power BI Dashboards with DAX queries, Power Apps, Power Automate, and Logic Apps
CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000-$145,000. This role is an existing vacancy.
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Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.
That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.
To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.
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