As a Data Engineer with Databricks, you will be responsible for designing, developing, and maintaining the infrastructure and systems necessary for data storage, processing, and analysis. You will play a pivotal role in constructing and managing data pipelines that ensure efficient and reliable data integration, transformation, and delivery across the enterprise.
Location: Lafayette, LA in a Hybrid Model.
• 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.
• Databricks Certifications (Associate, Professional, Administration).
• Minimum of 8 years of experience in data engineering, with at least 4 years of 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.
• 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.
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $76,300- $185,800. CGI’s benefits are offered to eligible professionals on their first day of employment to include:
•Competitive compensation
•Comprehensive insurance options
•Matching contributions through the 401(k) plan and the share purchase plan
•Paid time off for vacation, holidays, and sick time
•Paid parental leave
•Learning opportunities and tuition assistance
•Wellness and Well-being programs
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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.
Come join our team—one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics.
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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI’s legal duty to furnish information.