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Project Role: Data Engineer
Project Role Description: Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills: Google Big Query
Good to have skills: Microsoft SQL Server, Python (Programming Language)Minimum 7.5 year(s) of experience is required
Educational Qualification: 15 years full time education
Summary:As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Your role will be pivotal in enhancing the overall data infrastructure and ensuring that data is accessible and reliable for decision-making purposes.
Project Role:
Analytics and Modelor Project Role Description:
Analyze and model client, market and key performance data. Use analytical tools and techniques to develop business insights and improve decision-making.
Must have Skills : Google Big Query, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI :
Job Requirements:
Roles & Responsibilities:
- 1:Data Proc, Pub,Sub, Data flow, Kalka Streaming, Looker, SQL (No FLEX)
2:Proven track record of delivering data integration, data warehousing soln
3: Strong SQL And Hands-on (No FLEX)
4:Exp with data integration and migration projects3:Proficient in Big Query SQL language (No FLEX)
5:understanding on cloud native services : bucket storage, GBQ, cloud function, pub sub, composer, and Kubernetes
6:Exp in cloud solutions, mainly data platform services , GCP Certifications5: Exp in Shell Scripting, Python (NO FLEX), Oracle, SQLTechnical Experience :
Professional & Technical Skills:
- 1: Expert in Python (NO FLEX). Strong hands-on and strong knowledge in SQL(NO FLEX), Python programming using Pandas, Num Py, deep understanding of various data structure dictionary, array, list, tree etc, experiences in pytest, code coverage skills are preferred
2: Strong hands-on experience with building solutions using cloud native services: bucket storage, Big Query, cloud function, pub sub, composer, and Kubernetes etc. (NO FLEX)
3: Proficiency with tools to automate AZDO CI CD pipelines like Control-M , GitHub, JIRA, confluence , CI CD Pipeline
4: Open mindset, ability to quickly adapt new technologies
5: Performance tuning of Big Query SQL scripts
6: GCP Certified preferred
7: Working in agile environment
Professional Attributes :
1: Must have good communication skills2: Must have ability to collaborate with different teams and suggest solutions3: Ability to work independently with little supervision or as a team4: Good analytical problem solving skills 5: Good team handling skills
Educational Qualification:
15 years of Full time education
Additional Information:
Candidate should be ready for Shift B and work as individual contributor
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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Accenture
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
$25,532
Stock
$31,915
Bonus
$6,383
$44,681
$82,979
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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