Állás részletei
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Cég neve
Accenture Korlátolt Felelősségű Társaság
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Munkavégzés helye
Hibrid • Budapest -
Egyéb juttatások
- Cafeteria
- Egészségbiztosítás
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Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- ANALYTICS PYTHON SQL AZURE CLOUD DEVOPS SPARK ACCESS TROUBLESHOOTING
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Elvárások
- Angol középfok
- 3-5 év tapasztalat
- Középiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Implementation and maintenance of large-scale data pipelines and Azure/Databricks data platform
Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling
Management of ingestion and orchestration using Azure Data Services such as Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics
Establishment and enforcement of CI/CD pipelines for data workflows and infrastructure using Azure DevOps or equivalent tools
Implementation and upholding of data governance, metadata management, and data quality practices
Monitoring, troubleshooting, and optimization of performance of data processing jobs (Spark/Databricks)
Collaboration with cross-functional teams to understand requirements and deliver data solutions
Research, evaluation, and adoption of new data/cloud technologies and best practices
Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling
Management of ingestion and orchestration using Azure Data Services such as Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics
Establishment and enforcement of CI/CD pipelines for data workflows and infrastructure using Azure DevOps or equivalent tools
Implementation and upholding of data governance, metadata management, and data quality practices
Monitoring, troubleshooting, and optimization of performance of data processing jobs (Spark/Databricks)
Collaboration with cross-functional teams to understand requirements and deliver data solutions
Research, evaluation, and adoption of new data/cloud technologies and best practices
Requirements
5+ years of experience as a data engineer or similar role with cloud-based data platforms and modern data architectures
Hands-on experience building and managing data pipelines using Azure Databricks (PySpark + SQL) in production environments
Strong understanding and practical experience with data modeling, data warehousing / lakehouse architecture including dimensional modeling and Delta Lake / Lakehouse
Proven track record in data governance, metadata management, and ensuring data quality at scale
Experience in performance optimization and troubleshooting of data processing jobs / pipelines (Spark/Databricks)
Excellent programming and query skills in SQL and Python or another relevant language
Strong analytical and problem-solving skills at both pipeline/job and architecture/strategy levels
Excellent communication skills for explaining complex technical issues to non-technical stakeholders and collaborating across teams
Self-motivation, responsibility, and capability to work independently and as a technical leader in a structured data platform environment
Hands-on experience building and managing data pipelines using Azure Databricks (PySpark + SQL) in production environments
Strong understanding and practical experience with data modeling, data warehousing / lakehouse architecture including dimensional modeling and Delta Lake / Lakehouse
Proven track record in data governance, metadata management, and ensuring data quality at scale
Experience in performance optimization and troubleshooting of data processing jobs / pipelines (Spark/Databricks)
Excellent programming and query skills in SQL and Python or another relevant language
Strong analytical and problem-solving skills at both pipeline/job and architecture/strategy levels
Excellent communication skills for explaining complex technical issues to non-technical stakeholders and collaborating across teams
Self-motivation, responsibility, and capability to work independently and as a technical leader in a structured data platform environment
Nice-to-have
Prior experience in regulated domains or sectors with strong compliance requirements such as Finance, Asset Management, Pensions, Previous involvement in platform modernization or cloud migration projects, Familiarity with additional big data / data-engineering tools and patterns beyond Spark / Databricks including streaming, real-time data ingestion, advanced orchestration, metadata tooling, monitoring and alerting, Experience mentoring or leading smaller data engineering teams or peers and championing best practices, code reviews, architecture governance, Familiarity with CI/CD for data workflows, preferably with Azure DevOps or similar, including infrastructure-as-code (Terraform / ARM templates), Experience with Azure Data Services such as ADF, ADLS, Synapse or comparable cloud data services, Experience employing infrastructure-as-code such as Terraform or ARM templates to provision, manage, and version cloud infrastructure and data platform resources
What we offer
Participation in full-cycle and diverse international projects
Opportunity to work as a specialist or manager/team lead
Constant career development with internal mentorship
Access to a whole set of learning platforms and paid certifications
Flexible working conditions including home working
Attractive base salary
Wide range of benefits including cafeteria, bonuses, private health insurance package, life insurance, AYCM sport card, referral bonus, family-oriented benefits, company shares on a discount price
Opportunity to work as a specialist or manager/team lead
Constant career development with internal mentorship
Access to a whole set of learning platforms and paid certifications
Flexible working conditions including home working
Attractive base salary
Wide range of benefits including cafeteria, bonuses, private health insurance package, life insurance, AYCM sport card, referral bonus, family-oriented benefits, company shares on a discount price
Company info
Accenture is a leading global provider of a broad range of professional services in strategy and consulting, interactive marketing, information technology and business operations services, with digital capabilities in all of these areas. With more than 800,000 employees worldwide, we serve clients in more than 120 countries. Accenture globally has ranked 4th on the Great Place to Work® World’s Best Workplaces™.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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