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Data Engineer @ Accenture

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 Data Engineer

Job Description


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 BigQuery

Good to have skills :
Microsoft SQL Server, Google Cloud Data Services
Minimum 3 year(s) of experience is required

Educational Qualification :
15 years full time educationSummary: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 ModelorProject 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 BigQuery, SSI:NON SSI:Good to Have Skills :SSI:No Technology Specialization NON SSI :Job Requirements :Key Responsibilities :Data Proc, Pub,Sub, Data flow, Kalka Streaming, Looker, SQL (No FLEX)1:Proven track record of delivering data integration, data warehousing soln2:Strong SQL And Hands-on (No FLEX)2:Exp with data integration and migration projects3:Proficient in BigQuery SQL language (No FLEX)4:understanding on cloud native services :bucket storage, GBQ, cloud function, pub sub, composer, and KubernetesExp in cloud solutions, mainly data platform services , GCP Certifications5:Exp in Shell Scripting, Python (NO FLEX), Oracle, SQL
Technical Experience :1:Expert in Python (NO FLEX). Strong hands-on and strong knowledge in SQL(NO FLEX), Python programming using Pandas, NumPy, deep understanding of various data structure dictionary, array, list, tree etc, experiences in pytest, code coverage skills are preferred2: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 Pipeline4:Open mindset, ability to quickly adapt new technologies5:Performance tuning of BigQuery SQL scripts6:GCP Certified preferred7: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
Qualification15 years full time education

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Accenture
Location(s): Coimbatore

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Keyskills:   data engineer kubernetes python github confluence oracle data pipelines data warehousing numpy sql server sql pandas data quality gcp shell looker business insights shell scripting agile bigquery etl data integration jira

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