Offer summary

Qualifications:

7+ years of experience as a data engineer or in a similar role, Degree in Computer Science, IT, or similar field; a master's is a plus, Technical expertise with data models, data mining, and programming languages like Java and Python, Familiarity with big data technologies and cloud platforms such as AWS, Google Cloud, and Azure..

Key responsabilities:

Analyse and organize raw data to derive insights

Build data systems and pipelines to support data processing

Evaluate business needs and objectives to align data solutions

Collaborate with data scientists and architects on various projects.

RxCloud is a professional services organization focused exclusively on Pharma, Biotech and Medical device industries. We are a full-scale Quality Assurance Organization driving innovation & ensuring compliance across the industry. Our mission is to deliver Quality, Compliance, Innovation, Customer Experience, and speed that enables global Life Science industry to continuously innovate and significantly reduce drug development life cycle. We are specialized in providing the CSV services, GxP Audits (GMP, GDP, GLP, GCP, GVP) as a service, Veeva Services, Software Quality Assurance services. Our full spectrum of service offerings includes QMS Consulting, End to End Global Audit Management, CAPA management, SOP Authoring, QA as a service. RxCloud’s differentiation is bringing in speed and agility to achieve compliance first time and every time.

Job description

Data Engineer Job Description

A Data Engineer is a data professional who uses their expertise in data engineering and programming to build systems that collect, manage, and convert raw data into usable information for business analysts.

Requirements and skills

Previous 7+ years of experience as a data engineer or in a similar role
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g., Java and Python)
Hands-on experience with SQL database design
Great numerical and analytical skills
Degree in Computer Science, IT, or similar field; a masters is a plus.
Data engineering certification (e.g., IBM Certified Data Engineer) is a plus.
Big data technologies such as Hadoop, Spark, and Kafka.
Also be familiar with cloud platforms such as AWS, Google Cloud, and Azure.
Should be proficient in SQL, Excel, Tableau, or other BI tools. They should also have a good understanding of statistical analysis and modelling techniques, as well as business acumen.

Responsibilities

Analyse and organize raw data.
Build data systems and pipelines.
Evaluate business needs and objectives.
Interpret trends and patterns.
Conduct complex data analysis and report on results.
Prepare data for prescriptive and predictive modelling.
Build algorithms and prototypes.
Combine raw information from different sources.
Explore ways to enhance data quality and reliability.
Identify opportunities for data acquisition.
Develop analytical tools and programs.
Collaborate with data scientists and architects on several projects.

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