Senior Databricks Data Engineer
Senior Databricks Data Engineer
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1 Vacancy
Job Description
Position Description:
The data engineer is responsible for designing developing and maintaining the infrastructure and systems required for data storage processing and analysis. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration transformation and delivery for all data users across the enterprise.
Your future duties and responsibilities:
Designs develops and maintains robust data pipelines using Databricks and Apache Spark that extract data from various sources transform it into the desired format and load it into the appropriate data storage systems.
Implement and manage advanced data products in our medallion architecture.
Implement and manage advanced data models including dimensional relational and Data Vault modeling techniques.
Integrates data from different sources including databases data warehouses APIs and external systems.
Ensures data consistency and integrity during the integration process performing data validation and cleaning as needed.
Transforms raw data into a usable format by applying data cleansing aggregation filtering and enrichment techniques.
Optimizes data pipelines and data processing workflows for performance scalability and efficiency.
Monitors and tunes data systems identifies and resolves performance bottlenecks and implements caching and indexing strategies to enhance query performance. Implements data quality checks and validations within data pipelines to ensure the accuracy consistency and completeness of data.
Manage Databricks Unity Catalog including administrative activities (policies security access control cost control).
Optimize and administer Databricks environments to ensure high performance and reliability.
Cluster configuration and policy management in Databricks.
Build and maintain CI/CD pipelines (DevOps) in GitHub or Azure DevOps.
Collaborate with cross-functional teams to deliver comprehensive data solutions.
Ensure data quality security and governance across all data processes.
Communicate effectively with stakeholders to understand requirements and deliver actionable insights.
Operate within agile teams contributing to continuous improvement in data engineering practices and processes.
Required qualifications to be successful in this role:
Education
A bachelors degree in computer science data science software engineering information systems information technology or related quantitative field; masters degree preferred.
Experience
Minimum of8 yearsof experience in data engineering with at least4 yearsof hands-on experience with Databricks.
At least 8 years of work experience in data management disciplines including data integration modeling optimization and data quality or other areas directly relevant to data engineering responsibilities and tasks.
Skills
Databricks Certifications (Associate Professional Administration).
Proficiency in modern data modeling techniques and data administration.
Strong knowledge of SQL Python PySpark.
Experience with cloud platforms such as AWS and Azure. Also very familiar with AWS IAM and Azure AD security mechanisms.
Expert problem-solving skills including debugging skills allowing the determination of sources of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.
Strong communication skills and a proactive getting things done mindset.
Experience working in agile teams and familiarity with agile methodologies.
Ability to design build and deploy data solutions that capture explore transform and utilize data to support AI ML and BI.
Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS Azure GCP) and modern data warehouse tools (Snowflake Databricks).
Experience with database technologies such as SQL NoSQL Oracle Hadoop or Teradata.
Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products.
Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.
Ability to describe business use cases/outcomes data sources and management concepts and analytical approaches/options.
Ability to translate among the languages used by executive business IT and quant stakeholders.
Skills:
- Apache Spark
- Data Engineering
- SQL
- Analytical Thinking
What you can expect from us:
Together as owners lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll 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.
Youll shape your career by joining a company built to grow and last. Youll 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.
Come join our teamone of the largest IT and business consulting services firms in the world.
Required Experience:
Senior IC
Employment Type
Full-Time
