Responsibilities:

Job Summary & Principal Duties:

• A solid experience and understanding of considerations for large-scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform is a must.
• Monitors the Data Lake constantly and ensures that the appropriate support teams are engaged at the right times.
• Design, build and test scalable data ingestion pipelines, perform end to end automation of ETL process for various datasets that are being ingested.
• Determine best way to extract application telemetry data, structure it, send to proper tool for reporting (Kafka, Splunk).
• Create reports to monitor usage data for billing and SLA tracking.
• Work with business and cross-functional teams to gather and document requirements to meet business needs.
• Provide support as required to ensure the availability and performance of ETL/ELT jobs.
• Provide technical assistance and cross training to business and internal team members.
• Collaborate with business partners for continuous improvement opportunities.
• Must have experience working in an Onshore/Offshore model.
• Work as the Onshore tech coordinator liaising with Accenture offshore team for day-to-day work assignments.
• Be responsible for removing any blockers to tasks, communicating with the client stakeholders to manage delivery risks

Job Specifications:

Education: Bachelor's degree in computer science, Information Technology, Engineering, or related field

Experience, Skills & Qualifications:

• 3 years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics.
• 3 years of experience with one of the leading public clouds.
• 2 years of experience in design and build of salable data pipelines that deal with extraction, transformation, and loading.
• Mandatory Experience 3 years of experience with Python with working knowledge on Notebooks.
• Mandatory - 3 years working on a cloud data projects

Nice to Have

• Scala experience.

• Must have for Onshore candidate- 2 years hands on experience on Google Cloud Platform Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc.).
• At least 2 years of experience in Data governance and Metadata Management.
• Ability to work independently, solve problems, update the stake holders.
• Analyze, design, develop and deploy solutions as per business requirements.
• Strong understanding of relational and dimensional data modeling.
• Experience in DevOps and CI/CD related technologies.
• Excellent written, verbal communication skills, including experience in technical documentation and ability to communicate with senior business managers and executives.

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