Data Engineer

Dallas, TX, United States

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists.

As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges.

You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.

Key Responsibilities:

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.

Basic Qualifications: A minimum of 3 years working on a cloud data projects

A minimum of 2 years hands on experience on GCP Cloud data implementation projects Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc.

A minimum of 3 years of experience with Python with working knowledge on Notebooks

Must have experience working in an Onshore/Offshore model.

High School Diploma or GED

Preferred Qualifications:

A minimum of 8 years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics.

A minimum of 3 years of experience with one of the leading public clouds.

A minimum of 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.

Scala experience

A minimum of 2 years of experience in Data governance and Metadata Management.

Ability to work independently, solve problems and update the stake holders.

Analyze, design, develop and deploy solutions per business requirements.

Strong understanding of relational and dimensional data modeling.

Experience in DevOps and CI CD related technologies.

Excellent written and verbal communication skills

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, New York, or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here.

Role Location

California – $51.44 - $61.44

Colorado – $51.44 - $61.44

New York – $51.44 - $61.44

Washington – $51.44 - $61.44

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