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Data Engineer
3 months ago
Are you ready to be part of a team that's pushing the boundaries of data engineering? SADA is looking for a proficient Data Engineer to join our accomplished Data Engineering Team. This role offers both professional and personal growth by immersing you in a dynamic environment where you'll collaborate with top-tier architects and engineers. You'll engage in recommending, prototyping, building, and debugging advanced data infrastructures on Google Cloud Platform (GCP), addressing real-world data challenges for a broad range of clients-from startups to industry pioneers. You'll blend technical skills with client interactions, crafting data strategies and witnessing the direct impact of your contributions.
As a valued team member, you will be recognized for your contributions, working independently with minimal oversight while playing an important role in multiple engagements. Seize this opportunity to grow professionally and personally as a key player by adding exceptional value through your deliverables.
Responsibilities
- Innovate and Solve Complex Problems: Design and build advanced software systems to efficiently process petabytes of data.
- Implement Best Practices: Quickly adapt and utilize the latest software engineering practices.
- Collaborate Effectively: Work alongside engineers, project managers, and solutions architects to deliver new products and features.
- Develop Data Pipelines: Design, implement, and maintain big data pipelines that drive critical business decisions.
- Maintain Quality: Ensure that all software you create is testable and thoroughly tested.
- Participate in Design Discussions: Actively contribute to architecture, design, and implementation discussions.
- Drive Project Success: Participate in planning, execution, and successful delivery of complex technical projects.
- Engage with Clients: Take part in technical discussions, translating technical concepts into clear, actionable strategies that align with their business objectives.
At SADA, we embrace change and innovation enthusiastically. Your success will be measured by the breadth, magnitude, and quality of your contributions. You will be part of a successful practice where your ability to estimate accurately, receive positive customer feedback, collaborate well with peers, and demonstrate consultative polish will be key to your growth.
As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks.
Expectations
- Customer Interaction: Regular interaction with customers, including engineers, technical project managers, and executives.
- Training: On-going training with an initial orientation followed by a 90-day onboarding schedule.
- Required Travel: Minimal travel to customer sites, conferences, and related events.
Required Credentials
- Google Professional Data Engineer Certified or able to complete within the first 45 days of employment.
Expertise in at least one of the following domain areas:
- Big Data: Managing Hadoop clusters, troubleshooting, migrating Hadoop workloads, architecting solutions, ETL pipelines with Spark, Apache Beam, messaging systems like Pub/Sub, Kafka.
- Data Warehousing: Building data warehouse solutions, schema designs, ETL/ELT pipelines, reporting tools.
- Data Migration: Migrating data stores to scalable cloud-based stores with minimal downtime.
- Backup and Disaster Recovery: Building large-scale production-grade data backup, restore, and disaster recovery solutions.
- Software Development: Experience writing software in Python, Java, Scala, or Go.
- Production-Grade Data Solutions: Experience with relational and NoSQL data solutions.
- System Monitoring and Performance Tuning: Experience in systems monitoring, capacity planning, and performance tuning.
- Technical Consulting: Experience in technical consulting or other customer-facing roles.
- Google Cloud Data Products: Experience with CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer.
- IoT Architectures: Experience building real-time data streaming pipelines.
- Machine Learning: Applied experience operationalizing machine learning models on large datasets.
- Industry Trends: Knowledge of industry trends and new technologies, and the ability to apply these to architectural needs.
- Leadership and Self-Direction: Demonstrated leadership skills and the ability to teach others.
- Statistical Tools: Proficiency in selecting the right statistical tools for data analysis problems.
About SADA An Insight company
Values: SADA stands for inclusion, fairness, and doing the right thing. From our very beginning, we've championed a diverse workplace where we support and learn from each other, amplifying the impact we make with our customers. We're proud that our teams are composed of contributors who represent a wide array of backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Our five core values are the foundation of everything we do:
- Make Them Rave
- Be Data Driven
- Think One Step Ahead
- Drive Purposeful Impact
- Do The Right Thing
Work with the Best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the seventh year in a row, has been named a Google Global Partner of the Year . This year, SADA was named a Google Cloud Global Partner of the year 2024. SADA has also been awarded Best Place to Work year after year by the Business Intelligence Group and Inc. Magazine, and was recognized as a Niche Player in the 2023 Gartner® Magic Quadrant™ for Public Cloud IT Transformation Services.
Benefits: Unlimited PTO, paid parental leave, competitive and attractive compensation, performance-based bonuses, paid holidays, generous medical, dental, vision plans, life, short and long-term disability insurance, 401K/RRSP with match, as well as Google-certified training programs and a professional development stipend.
Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for the last 10+ years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core:3200+ projects completed, 4000+ customers served, 10K+ workloads, and 30M+ users migrated to the cloud.
To request reasonable accommodation to participate in the job application or interview process, contact careers@sada.com. SADA complies with federal and state/provincial disability laws and makes reasonable accommodations for applicants and candidates with disabilities.
