GCP Lead
- Datametica
- 5 - 10 years
- Pune
- 12 days ago
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Job Description
GCP Data Lead
Experience - 4- 8 Years
Location -Pune / Bengluru
Required Past Experience:
- 5+ years of overall experience in architecting, developing, testing & implementing Data Platform projects using GCP Components (e.g. PySpark, SQL, GCP EcoSystem(Biq Query, Cloud Composer, DataProc)
- Good Understanding of Data Structures.
- Worked with large datasets and solving difficult analytical problems.
- Experience working with GIT for Source Code Management
- Worked with Structured and Unstructured data
- E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.
- Worked with client teams to design and implement modern, scalable data solutions using a range of new and
emerging technologies from the Google Cloud Platform - Automating manual processes to speed up delivery.
- Good Understanding of Data Pipeline (Batch and Streaming) and Data Governance
- Experience in code deployment from lower environment to production.
- Good communication skills to understand business requirements.
Required Skills and Abilities:
- Mandatory Skills - BigQuery ,Composer, Python, GCP Fundamentals.
- Secondary Skills PySpark, SQL, GCP EcoSystem(Biq Query, Cloud Composer, DataProc)
- Knowledge of ETL Migration from On-Premises to GCP Cloud
- SQL Performance Tuning
- Batch/Streaming Data Processing
- Fundamentals of Kafka,Pub/Sub to handle real-time data feeds.
- Good To Have - Certifications in any of the following: GCP Professional Cloud Architect, GCP Professional Data Engineer
- Ability to communicate with customers, developers, and other stakeholders.
- Mentor and guide team members
- Good Presentation skills
- Strong Team Player
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QA
Role Category: DBA / Data warehousing
Role: DBA / Data warehousing - Other
Employement Type: Full time
Contact Details:
Company: DatameticaLocation(s): Pune
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DataMetica is the leader in Big Data architecture, Advanced Analytics and Big Data Operations focused on serving large global companies. We provide a fast and reliable integration of Hadoop and related technologies into enterprise operations. Our team is comprised of highly experienced Hadoop, noSQL...
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