Data Engineer + Azure
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Job Location:
Monthly Salary:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Overall Responsibilities
Design and develop scalable reliable data pipelines on Azure to collect process and store large datasets
Implement efficient data models and data warehousing solutions aligning with business requirements
Collaborate with data scientists analysts and application teams to integrate data workflows
Optimize data pipeline performance reliability and security
Support data governance compliance and data privacy standards
Monitor operational health of data solutions and troubleshoot issues proactively
Document architecture workflows and best practices for data ingestion and transformation
Stay updated with the latest Azure data platform innovations and incorporate improvements
Software Requirements
Proficiency in SQL and Python for data processing and scripting
Hands-on experience with Azure Data Services such as Azure Data Factory Azure Data Lake Azure Databricks and Azure Synapse Analytics
Understanding of data warehousing data modeling and ETL/ELT processes
Experience implementing data pipelines for ingestion transformation and storage
Knowledge of Azure Blob Storage Cosmos DB and relational databases (Azure SQL Database SQL Server)
Familiarity with DevOps practices for deployment and continuous integration in the cloud
Experience with Spark Scala or Java in Azure Databricks
Knowledge of Power BI or other data visualization tools
Exposure to DataOps automation and monitoring tools within Azure
Category-wise Technical Skills
Data Processing & Frameworks:
Azure Data Factory Azure Databricks Azure Data Lake Synapse Analytics
Python PySpark Scala or Java for data processing
SQL T-SQL and experience with relational and non-relational data stores
Cloud & Infrastructure:
Azure AI & Machine Learning services (optional)
Azure Storage options: Blob Data Lake Cosmos DB
Azure DevOps CI/CD pipelines Infrastructure as Code (ARM templates Terraform)
Data Modeling & Warehousing:
Star schema data marts normalization/denormalization principles
Data governance lineage and security standards
Tools & Monitoring:
Power BI Azure Monitor Log Analytics for data visualization and monitoring
Version control systems like Git
Experience
5 years of experience in data engineering data architecture or related roles
Proven track record of designing and deploying data pipelines using Azure services
Hands-on experience with cloud data solutions in a commercial or enterprise environment
Experience working with cross-functional teams on large-scale data projects
Familiarity with big data processing frameworks and emerging data technologies
Day-to-Day Activities
Develop test and deploy scalable data pipelines for ingestion transformation and storage
Collaborate with data analysts scientists and stakeholders to understand data requirements
Optimize ETL processes for performance scalability and cost-efficiency
Monitor data pipeline health and troubleshoot issues proactively
Implement data security privacy and governance measures
Automate deployment workflows and manage infrastructure as code on Azure
Document data architecture workflows and standards
Stay current with new Azure data services and best practices to recommend improvements
Qualifications & Soft Skills
Qualifications:
Bachelors degree in Computer Science Engineering Data Science or related field
5 years of experience in data engineering data architecture or related disciplines
Relevant Azure certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) are preferred
Soft Skills:
Strong problem-solving analytical and organizational skills
Excellent communication skills to interface with technical and non-technical stakeholders
Ability to work independently and collaboratively in a team environment
Attention to detail and commitment to data quality
Adaptability to evolving technologies and project priorities
Proactive mindset with continuous learning orientation
SYNECHRONS DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.
All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Chez Synechron, nous croyons en la puissance du numérique pour transformer les entreprises en mieux. Notre cabinet de conseil mondial combine la créativité et la technologie innovante pour offrir des solutions numériques de premier plan. Les technologies progressistes et les stratégie ... View more
