채용
Benefits & Perks
•Learning
Required Skills
Databricks
PySpark
Apache Spark
Python
SQL
Project Role: Custom Application Architect
Project Role Description: Design the application architecture of custom software systems to translate business needs into scalable, secure, and high-performing technical solutions.
Must have skills: Databricks Unified Data Analytics Platform
Good to have skills: Cloud Data Architecture
Minimum 5 year(s) of experience is required
Educational Qualification: 15 years full time education
Summary:
As an Application Architect, you will provide functional and technical expertise to plan, analyze, define, and support the delivery of future functional and technical capabilities for an application or group of applications. Your typical day will involve collaborating with various teams to assess impacts, producing estimates for client work requests, and ensuring that the applications meet the evolving needs of the organization. You will engage in discussions to identify potential improvements and innovations, while also guiding the team in implementing best practices and methodologies to enhance application performance and user experience.
Roles & Responsibilities:
- Work as part of the data engineering team to build, maintain, and optimize scalable data pipelines for large-scale data processing.
- Develop and implement ETL/ELT processes using Py Spark, Spark, and other relevant tools to move and transform data from various sources.
- Assist in designing and deploying solutions in major cloud platforms such as AWS, Azure, or GCP.
- Support the development and maintenance of Big Data processing frameworks and data lakes to handle structured and unstructured data.
- Collaborate with data scientists, analysts, and other engineers to ensure data accuracy and availability.
- Implement data ingestion strategies, ensuring the secure and efficient movement of data across different storage solutions.
- Work on real-time streaming data pipelines and batch data processing to handle high-volume workloads.
- Develop and maintain reusable code for data extraction, transformation, and loading (ETL) operations.
- Contribute to performance tuning of Spark jobs and data pipelines to ensure scalability and efficiency.
- Assist in maintaining governance and data security practices across cloud platforms
Professional & Technical Skills:
- Experience with AWS, Azure, or GCP for data engineering workflows.
- Strong proficiency in Py Spark, Spark, or similar frameworks for building scalable data pipelines.
- Understanding of Big Data architectures, data storage, and data processing concepts.
- Familiarity with cloud-native data storage solutions such as S3, Blob Storage, Big Query, or Redshift.
- Experience with data orchestration tools like Apache Airflow or similar.
- Knowledge of data formats like Parquet, Avro, or JSON.
- Strong coding skills in Python for building data pipelines.
- Good understanding of SQL and database technologies.
- Excellent troubleshooting, debugging, and performance optimization skills
Additional Information:
- Experience with real-time data processing and Kafka or similar tools.
- Exposure to CI/CD pipelines and DevOps practices in cloud environments.
- Familiarity with dbt (Data Build Tool) for data transformation workflows.
- Experience with other ETL tools like Informatica, Talend, or Matillion.
Education Qualification:
- A 15 years full time education is required.
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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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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