Data Engineering Manager at accenture jobs Full-time Job9 months ago Computer & IT Los Angeles 644 views Reference: 598
Applied Intelligence, the people who love using data to tell a story. Were also the worlds largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anythingspark digital metamorphoses,widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds?
A Data Engineering Manager, someone who thrives in a team setting where you can use your creative and analytical prowess to obliterate problems. Youre passionate about digital technology and you take pride in making a tangible difference. You have communication and people skills in spades, along with strong leadership chops. Complex issues dont faze you thanks to your razor-sharp critical thinking skills. Working in an information systems environment makes you more than happy and youre up for traveling regularly to client sites (post COVID).
Consult as part of a team in charge of building end-to-end digital transformation capabilities and lead fast moving development teams using Agile methodologies.
Design and build Big Data and real-time analytics solutions using industry standard technologies and work with data architects to make sure Big Data solutions align with technology direction.
Lead by example, role-modeling best practices for unit testing, CI/CD, DevOps, performance testing, capacity planning, documentation, monitoring, alerting and incident response.
Keep everyone from individual contributors to top executives in the loop about progress, communicating across organizations and levels. If critical issues block progress, refer them up the chain of command to be resolved in a timely manner.
Optimize NLU model by implementing NLP systems, performing intent classification and entity extraction and user testing.
Develop and maintain digital conversational flows, dialog research, Architect, Prototype and Test Dialogue Management system and Natural Language Generator Connect to data source (e.g. multiple xml documents) and query database.
Pinpoint and clarify key issues that need action, lead the response and articulate results clearly in actionable form.
Show a strong aptitude for carrying out solutions and translating objectives into a scalable solution that meets end customers needs within deadlines.
Collaborate with research teams working on a variety of deep learning and NLP problems.
Design, build and test data ingestion frameworks for enabling data supply chain pipelines ensuring data governance and data onboarding best practices.
Here's what you need:
Bachelor's degreein Computer Science, Engineering, Technical Science or 12 years' experience in programming and building large scale data/analytics solutions operating in production environments.
Minimal 10+ years experience in data warehousing/BI/analytics
Minimum 8+ years' expertise in designing, implementing large scale data pipelines for data curation, feature engineering and machine learning, using Spark in combination with PySpark, Java, Scala or Python; either on premise or on Cloud (AWS, or Azure).Experience in working with Databricks, SageMaker, Azure Machine Learning and other Cloud native tools is highly desired.
Minimum8 years' designing and building performant data tiers (or refactoring existing ones), that supports scaled AI and Analytics, using different Cloud native data stores on AWS and Azure (Snowflake, Redshift, S3, Azure Synapse etc.)as well as using NoSQL and Graph Stores.
Minimum 8 years' designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, Spark Streaming and similar cloud native technologies (Azure Event Hubs, Streamsets, etc)
Bonus points if you have:
Designing and building secured and governed Big Data ETL pipelines, using Talend or Informatica technologies; for data curation and analysis of large production deployed solutions.
Experience implementing smart data preparation tools such as Paxata and Trifacta for enhancing analytics solutions.
For now, all Accenture business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only.
Please note: The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities and guidance from a number of infectious disease experts.
As required by Colorado law under the Equal Pay for Equal Work Act, Accenture provides a reasonable range of compensation for roles that may be hired in Colorado. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location. For the state of Colorado only, the range of starting pay for this role is $119,880-$190,100 and information on benefits offered is here.
The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually.
Subject to applicable law, please be aware that Accenture requires all employees to be fully vaccinated as a condition of employment. Accenture will consider requests for accommodation to this vaccination requirement during the recruiting process.
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Opportunity and Affirmative Action Policy Statement.
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
CA - Los Angeles,CT - Hartford,FL - Miami,FL - St. Petersburg,GA - Atlanta,IL - Chicago,MA - Boston,MN - Minneapolis,NC - Charlotte,TX - Austin,TX - Houston,TX - Irving,TX - San Antonio,WA - Seattle
Share This on: