Senior Data Engineer (Azure)
Senior Data Engineer (Azure)
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
Responsibilities:
- Data Pipeline Development: Building and maintaining robust data pipelines to ensure efficient data flow.
- ETL Processes: Expertise in Extract Transform Load (ETL) processes to prepare data for analysis using Azure Data factory ADF / Talend .
- Big Data Technologies: Proficiency with tools Apache Spark Apache Kafka with DataBricks
- Cloud Platforms: Experience with cloud services such as Azure with Storage ADLS2.
- Database Management: Strong skills in Azure SQL database Azure Cosmos DB Azure Synapse.
Programming Languages: Proficiency in Python Java or Scala in DataBricks. - Data Warehousing: Experience with data warehousing solutions like Redshift or Snowflake.
- Collaboration: Working closely with data scientists analysts and other stakeholders to understand data needs and translate them into efficient solutions.
Qualifications :
- Azure databricks
- Proficiency in Python.
- Azure Functions
- Azure Synapse Analytics Azure SQL.
- CosmoDB
- Experience implementing ETL/ELT process and Data pipelines.
- Experience with Snowflake.
- Strong SQL scripting experience.
- Background and experience with cloud data technologies and tools.
- Familiar with Data warehouse tools Scala Spark Voltage Azure Data Factory.
Additional Information :
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package share plan company performance bonuses value-based recognition awards referral bonus;
- Career Development: Career coaching global career opportunities non-linear career paths internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions pass-it-on sessions workshops conferences;
- Work-Life Balance: Hybrid work and flexible working hours employee assistance programme;
- Health: Global internal wellbeing programme access to wellbeing apps;
- Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.
At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
