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The purpose of the Data Engineering specialist is to build and unit test code for Projects and Programmes on Azure Cloud Data and Analytics Platform
Job Description: looking for a talented and experienced Senior Data Engineer with a strong expertise in Snowflake to join our team. As a Senior Data Engineer, you will play a critical role in the development and optimisation of data systems, data pipelines, and ensuring seamless data transformations to support business intelligence and data-driven decisions.
As a Software Engineer, you'll be a key part of a team improving a discrete set of tools and processes into a repeatable, automated, and audited pipeline to better onboard and process data for clinical trials. You will be working with clinical counterparts to improve their work pipeline as well as automating system validation and documentation efforts for a low-friction rigorous product.
Seeking a highly skilled and motivated Data Engineer The ideal candidate will have strong expertise in Python, Apache Spark, Apache Flink, BigQuery, Google Cloud Dataproc/ Databricks, and Confluent Kafka. Will be responsible for designing, developing, and optimizing large-scale data processing systems, enabling real-time and batch data workflows to support business intelligence and advanced analytics.
As a Data Engineer you will be developing and maintaining data infrastructure and writing, deploying, and maintaining software to build, integrate, manage, maintain, and quality-assure data
The Data Integration Engineer will lead initiatives to integrate, validate, and optimize data pipelines for clinical research using real-world data, ensuring high data quality and compliance. The role involves working with internal teams and external partners, leveraging technologies like AWS, SQL, and Python, to support healthcare research and improve medical outcomes.
Collaborate with solution architect, data engineers, business stakeholders, business analysts, and DQ testers to ensure data management and data governance framework is defined as critical components. Design and develop data models using industry-standard modeling techniques and tools.
As a Product Champion, you'll leverage your creativity, analytical abilities, and leadership from day one. Collaborate with skilled product managers, designers, and data engineers to create world-class analytics products that tackle major customer challenges and transform teamwork. This is an exciting chance to lead the analytics domain as a PM, shaping how companies engage with and connect their employees across the platform.
Total Exp- 6+yearsKey Responsibilities:
Required Skills & Qualifications:
Good to Have:
You will build and mentor a team of data scientists and machine learning engineers, collaborating closely with cross-functional teams to integrate AI models and analytics tools into our ecosystem. This role involves driving innovation in how we use AI and machine learning to automate and optimize the organisation's strategies.
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