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GCP Data Engineer- Lead Consultant

1 hour, 56 minutes ago
India
Full-time
Lead
Data Engineer
Data Science and Analytics
Apache Airflow Apache Spark Azure Confluence Databricks dbt GCP Git JIRA Looker Power BI Python SQL Tableau
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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
View All Jobs 88

Description

  • Design, model, and develop the full GCP data ecosystem for a client using services such as Cloud Storage, Cloud Functions, and BigQuery.
  • Gather, analyze, model, and document business and technical requirements throughout the delivery process.
  • Work directly with clients and participate in discussions to identify improvement opportunities and solution options.
  • Model data from multiple source systems and technologies.
  • Troubleshoot and support complex, high-impact data issues and deliver new features and functionality.
  • Design and optimize data storage architectures, including data lakes, data warehouses, and distributed file systems.
  • Implement storage and retrieval optimization techniques such as partitioning, compression, indexing, and caching.
  • Tune queries, resolve performance bottlenecks, and improve overall system efficiency.
  • Monitor system performance, identify anomalies, and conduct root cause analysis to maintain reliable data operations.
  • Train and mentor less experienced data engineers and support knowledge transfer.

Requirements

  • 7+ years of experience as a Data Engineer working with GCP cloud-based infrastructure and systems.
  • Deep knowledge of Google Cloud Platform and cloud computing services.
  • Extensive experience designing, building, and deploying cloud data pipelines.
  • Experience ingesting data from databases, APIs, and streaming platforms.
  • Strong SQL experience, with BigQuery required.
  • Experience with NoSQL databases and database management systems.
  • Programming skills in SQL, Python, and other scripting languages.
  • Strong data modeling and database optimization skills.
  • Knowledge of query optimization, indexing, and performance tuning.
  • Experience with orchestration and scheduling tools, with Airflow required.
  • Experience with ETL and ELT data integration approaches.
  • Experience with modern transformation tools such as DBT or Dataform.
  • Excellent communication skills for cross-functional collaboration and stakeholder communication.
  • Ability to lead client discussions and present technical concepts clearly to non-technical audiences.
  • Experience with tools such as Git, Jira, and Confluence.
  • Experience in multinational environments and distributed teams.
  • Certifications in big data technologies or cloud platforms are a plus.
  • Experience with BI tools such as Looker, Power BI, or Tableau is preferred.
  • Experience with ETL tools such as Talend or Alteryx is preferred.
  • Experience with Apache Spark in a GCP environment is preferred.
  • Experience with Databricks is preferred.
  • Experience with Azure cloud-based infrastructure and systems is preferred.

Benefits

  • Stable employment with a company that has been on the market since 2008.
  • Remote work or office-based work is available depending on location.
  • Flexible working hours and flexibility in the preferred form of contract.
  • 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.
  • Capability development programs, knowledge sharing sessions, and community webinars.
  • Internal growth opportunities, including strong rates of internal promotion.
  • A diverse, inclusive, and values-driven community.
  • Well-being and health support activities.
  • Referral bonuses for bringing in friends.
  • Opportunities to donate to charities and support the environment.
  • Modern office equipment provided or available to borrow depending on location.

Interested in this position?

Apply directly on the company website

Apply Now

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