
Unlock the Full Potential of Data: A Data Engineer Role
3 days ago
As a seasoned Data Engineer, you will play a pivotal role in driving our clients' transformation objectives by delivering expert services and products. This position involves providing technical leadership in Big Data initiatives, focusing on Hadoop Stack technologies such as Spark, MapReduce, HDFS, Hive, and HBase.
- Offer strategic guidance on implementing and contributing to open-source Big Data projects.
- Familiarize yourself with cloud computing platforms, particularly Google Cloud Platform (GCP), including BigQuery, Dataflow, Dataproc, Storage, Virtual Machines, Networking, Pub/Sub, Cloud Functions, and Composer services.
- Stay updated on columnar databases like Parquet and ORC.
- Visualize and promote next-generation infrastructure for cloud platforms and Big Data environments, including batch, near-real-time, and real-time technologies.
- Develop and implement an overarching data strategy aligned with business processes.
- Demonstrate expertise in at least four to five GCP services.
- Prioritize experience with technical solutions based on industry standards using GCP's IaaS, PaaS, and SaaS capabilities.
- Display a strong understanding of distributed computing frameworks, especially those related to GCP.
Key Responsibilities:
- Implement high-end software products with 6-10 years of experience.
- Cultivate a passion for continuous learning, experimentation, and contribution to cutting-edge open-source technologies and software paradigms.
Work Environment:
We are dedicated to delivering innovative solutions to our clients. Our team works collaboratively to ensure timely project delivery and adherence to budget requirements.
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Unlocking Data Potential: Data Engineer Role
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Unlock Your Potential as a Data Engineer
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