Dataops Lead Engineer
hace 1 mes
The role will involve:
- Analysing and improving the Software Development Lifecycle, standards, patterns and processes within the Data & Analytics domain
- Optimizing performance and improving efficiency of Data Availability Services through automation, monitoring and mentoring
- Supporting observability of the platforms operated
**About AstraZeneca**
AstraZeneca is a global, innovation-driven BioPharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious disease. But we’re more than one of the world’s leading pharmaceutical companies.
At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning, growth and development.
**Key skills and experience**
- You will have a proven track record of operating and maintaining infrastructure and software solutions used in the data engineering space
- You will have shown that you are capable of leading others
- You will have strong experience in delivering automation and process improvements,
- You will have delivery experience across key elements of the data & analytics domain,
- You will need great interpersonal skills & a collaborative approach to delivery,
- You will be able to demonstrate an ability to understand business needs and translate them into a solution,
- You must have strong analytical and data manipulation ability,
- You will have experience of technical leadership in data and analytics.
**Desirable technical skills & experience**
- Continuous Integration and Continuous Delivery (we use Jenkins, Apache Airflow, Nexus, Git with development in Python, Java, Groovy),
- Experience developing solutions using Azure Power Apps,
- Experience of automated testing,
- Experience of creating and administering data warehouses and data marts (Snowflake, MySQL, PostGreSQL, Oracle, Redshift),
- Experience of ETL & cloud techniques and tools (we currently use: Talend, Informatica, Qlik Replicate, Fivetran and dbt Cloud for data movement and transformation; AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark; we are expanding into Azure, GCP, Alibaba),
- Experience of real-time system monitoring platforms (Splunk, ELK stack, CloudWatch),
- Experience of visualisation technologies like PowerBI,
- Experience of building scalable high availability analytics solutions,
- Experience of data analysis - profiling, investigating, interpreting and documenting data structures,
- Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema),
- Agile practices, especially being a SCRUM Master.
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