STL BIG DATA
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Role details
Tech stack
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Requirements
- 10 years of experience and working as a Lead Data Engineer
- Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud DataProc, Cloud Dataflow, Apache Beam composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github
- Experience working in GCP and Google Big Query Strong SQL knowledge - able to translate complex scenarios into queries
- Mentor other data engineers, having a voice in defining the challenging technical culture, and helping to build a fast-growing team
- Possess excellent written and verbal communication skills with the ability to communicate with team members at various levels, including business leaders
- Coordinate with developers’ architects stakeholders and cross functional teams from organization and customer side
- Strong Programming experience in Python or Java Experience with Data modeling and mapping. # Experience in Google Cloud platform (especially BigQuery) Experience developing scripts for flowing data into GBQ from external data sources.
- Experience in Data Fusion for automation of data movement and QA. Experience with Google Cloud SDK & API Scripting.
- Experience in per forming detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud
- Active Google Cloud Data Engineer Certification or Active Google Professional Cloud Architect Certification will be great
- Data mig ration experience from on prim legacy systems Hadoop, Exadata, Oracle Teradata, or Netezza to any cloud platform
- Experience with Data Lake, data warehouse ETL build and design
- Experience in designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Java, Python, Scala, SQL etc.
- Experience in implementing next generation data and analytics platforms on GCP cloud
- Experience in Jenkins, Jira, confluenc.
About the company
InterSources Inc , a Certified Diverse Supplier, was founded in 2007, offers innovative solutions to help clients on Digital Transformations across various domains and industries. Our history spans over 13 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enables us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, colour, national origin, gender sexual orientation, gender identity, age, marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrives our resources to deliver industry leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.
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