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GCP Data Engineer

Job Req Id:  1309188

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit


Role: GCP Data Engineer

Location: Prague, Czech Republic

Employment Type: Permanent

Hybrid Work Model: Hybrid: 2 – 3 Days Work From Office and rest Remote (Per Week).

Language Proficiency: English & Czech (Preferred)



Scala, python, or Java as well as GCP or AWS experience.



  • 8+ years of experience in data warehousing, data integration or data engineering projects.
  • Possess in-depth knowledge and hands on development experience building end to end data pipeline on Google Cloud Platform (GCP) including ingestion, processing, storage and data validation.
  • Experience in working with core GCP data technologies, BigQuery, Composer/Airflow and GCS
  • Strong Python & SQL coding experience [Must].
  • Strong programming foundation in Python, including debugging and performance analysis.
  • Good Knowledge of other GCP services like Dataplex, Cloud Data Fusion and Dataflow
  • Experience working on platforms such as Oracle, Informatica, DB2, Cloudera, Collibra is preferred
  • Experience in migrating legacy EDW to cloud is preferred
  • Experience working in all phases of development i.e. requirement gathering, design, development, data validation & testing, deployment and maintenance, of data applications


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Job Segment: Data Warehouse, Engineer, Database, Developer, Java, Technology, Engineering

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