Azure Data Engineer- Lead Consultant

3 weeks ago
Full-time
Lead
Data Science and Analytics
Lingaro

Lingaro

Lingaro Group is a leading end-to-end data services partner specializing in Business Intelligence and Data Warehouse solutions. With a focus on digital transformation, Lingaro provides technology-enabled solutions to Fortune 500 enterprises and global ...

IT Services
5K-10K
Founded 2008

Description

  • Provide leadership, mentoring, and coaching to the data engineering team while fostering a collaborative work environment.
  • Set goals, assign tasks, and manage resources to support successful project delivery.
  • Support developers and team members in troubleshooting and resolving complex technical issues.
  • Provide technical direction on data engineering tools, technologies, methodologies, and best practices.
  • Collaborate with stakeholders to define project scope, requirements, and project plans.
  • Support project managers by tracking progress, managing risks, and helping deliver on timelines, budgets, and quality standards.
  • Oversee the design and architecture of data solutions to ensure scalability, efficiency, and alignment with business needs.
  • Guide data modeling, database design, and data integration activities.
  • Align coding standards, conduct code reviews, and introduce quality assurance processes for data pipelines and workflows.
  • Optimize data processing and storage for performance, efficiency, and cost savings while ensuring security and compliance.

Requirements

  • Bachelor's or master's degree in Computer Science, Information Systems, or a related field.
  • Minimum of 8 years of experience in data engineering or a related field.
  • Strong proficiency in Python, SQL, and PySpark.
  • Hands-on experience with Azure cloud services such as Azure Databricks, Data Factory, and Data Lake.
  • Experience implementing data solutions in a cloud environment.
  • Expertise with ETL frameworks, data pipelines, and data warehousing solutions.
  • Strong knowledge of data management principles, including data governance, data quality, and data integration.
  • Excellent problem-solving and analytical skills for complex data engineering issues.
  • Knowledge of data security and privacy regulations and the ability to ensure compliance.
  • Cloud certifications are advantageous.
  • Consulting exposure and an external customer focus mindset are preferred.

Benefits

  • 100% remote work with flexibility regarding working hours.
  • Stable employment with a company established in 2008 and 1300+ talents across 7 global sites.
  • Comprehensive online onboarding with a Buddy from day one.
  • Unlimited access to the Udemy learning platform from day one.
  • Certificate training programs and ongoing upskilling support.
  • 110+ training opportunities yearly, including community webinars, knowledge sharing sessions, and competency centers.
  • Strong internal growth opportunities, with 76% of managers promoted from within.
  • A diverse, inclusive, and values-driven community.
  • Activities and support for well-being and health.
  • Referral bonuses and opportunities to support charities and the environment.

Interested in this position?

Apply directly on the company website

Apply Now

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