Title: Sr Data Engineer - Onsite

Mandatory skills:

Data Warehousing, Data Analytics, Data governance, Metadata Management
Scala, Kafka, Splunk, Python, Notebooks
ETL, ETL process, DevOps, CI, CD
data pipeline, data warehouse, data lakes, data analytics, data ingestion pipelines
document requirements, business requirements, technical assistance, cloud data, technical documentation
Google Cloud Platform Cloud data implementation projects, Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow

Description:

Sr Data Engineer

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

Requirements

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.

Note :

Onsite .

VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.

Contact Details :

Account co-ordinator: Rajkamal Krishnamoorthy, Phone No : ext. 316, Email:

VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008
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