Lead Data Engineer @ Rearc | Jobright.ai
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Rearc ยท 2 days ago

Lead Data Engineer

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ConsultingInformation Technology
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H1B Sponsorship

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Responsibilities

Understand Requirements and Challenges: Collaborate with stakeholders to deeply understand their data requirements and challenges, enabling the development of robust data solutions tailored to the needs of our clients.
Implement with a DataOps Mindset: Embrace a DataOps mindset and utilize modern data engineering tools and frameworks, such as Apache Airflow, Apache Spark, or similar, to build scalable and efficient data pipelines and architectures.
Lead Data Engineering Projects: Take the lead in managing and executing data engineering projects, providing technical guidance and oversight to ensure successful project delivery.
Mentor Data Engineers: Share your extensive knowledge and experience in data engineering with junior team members, guiding and mentoring them to foster their growth and development in the field.
Promote Knowledge Sharing: Contribute to our knowledge base by writing technical blogs and articles, promoting best practices in data engineering, and contributing to a culture of continuous learning and innovation.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringData ArchitectureETL ProcessesData WarehousingData ModellingData IntegrationCloud-Based Data ServicesAWS RedshiftAzure Synapse AnalyticsGoogle BigQueryData Solutions DesignData ProcessingData AnalyticsStrategic SkillsData Pipelines OptimizationDatabricksDelta LakeStakeholder EngagementProblem-SolvingAnalytical SkillsCommunicationInterpersonal

Required

With 10+ years of experience in data engineering, data architecture, or related fields, you offer a wealth of expertise in managing and optimizing data pipelines and architectures.
You have a proven track record of leading complex data engineering projects, including designing and implementing scalable data solutions.
Your hands-on experience with ETL processes, data warehousing, and data modelling tools allows you to deliver efficient and robust data pipelines.
You possess in-depth knowledge of data integration tools and best practices, enabling seamless data flow across systems.
Your strong understanding of cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery) ensures effective utilization of cloud resources for data processing and analytics.
You bring strong strategic and analytical skills to the role, enabling you to solve intricate data challenges and drive data-driven decision-making.
Proven proficiency in implementing and optimizing data pipelines using modern tools and frameworks, including Databricks for data processing and Delta Lake for managing large-scale data lakes.
Your exceptional communication and interpersonal skills facilitate collaboration with cross-functional teams and effective stakeholder engagement at all levels.

Benefits

Health Benefits
Generous time away
Maternity and Paternity leave
Educational resources and reimbursements
401(k) plan with a company contribution

Company

Rearc

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Rearc IT consulting firm that engages in cloud technology.

H1B Sponsorship

Rearc has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (2)
2021 (3)

Funding

Current Stage
Growth Stage

Leadership Team

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Chloe Wintzer
Principal Architect & Co-Founder
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Mahesh Varma
Principal Architect & Co-Founder
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Company data provided by crunchbase
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