Associate Data Engineer LL2025PM0403xJ25CF5308430E
Associate Data Engineer LL2025PM0403xJ25CF5308430E
Posted on :
24-04-2025
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1 Vacancy
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Job Description
We are looking for an Associate Data Engineer with deep expertise in writing data pipelines to build scalable highperformance data solutions. The ideal candidate will be responsible for developing optimizing and maintaining complex data pipelines integration frameworks and metadatadriven architectures that enable seamless access and analytics. This role prefers deep understanding of the big data processing distributed computing data modeling and governance frameworks to support selfservice analytics AIdriven insights and enterprisewide data management.
Roles & Responsibilities:
- Data Engineer who owns development of complex ETL/ELT data pipelines to process largescale datasets
- Contribute to the design development and implementation of data pipelines ETL/ELT processes and data integration solutions
- Ensuring data integrity accuracy and consistency through rigorous quality checks and monitoring
- Exploring and implementing new tools and technologies to enhance ETL platform and performance of the pipelines
- Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
- Eager to understand the biotech/pharma domains & build highly efficient data pipelines to migrate and deploy complex data across systems
- Work in an Agile and Scaled Agile (SAFe) environment collaborating with crossfunctional teams product owners and Scrum Masters to deliver incremental value
- Use JIRA Confluence and Agile DevOps tools to manage sprints backlogs and user stories.
- Support continuous improvement test automation and DevOps practices in the data engineering lifecycle
- Collaborate and communicate effectively with the product teams with crossfunctional teams to understand business requirements and translate them into technical solutions
What We Expect Of You
MustHave Skills:
MustHave Skills:
- Experience in Data Engineering with a focus on Databricks AWS Python SQL and Scaled Agile methodologies
- Proficiency & Strong understanding of data processing and transformation of big data frameworks (Databricks Apache Spark Delta Lake and distributed computing concepts)
- Strong understanding of AWS services and can demonstrate the same
- Ability to quickly learn adapt and apply new technologies
- Strong problemsolving and analytical skills
- Excellent communication and teamwork skills
- Experience with Scaled Agile Framework (SAFe) Agile delivery and DevOps practices
GoodtoHave Skills:
- Data Engineering experience in Biotechnology or pharma industry
- Exposure to APIs full stack development
- Experienced with SQL/NOSQL database vector database for large language models
- Experienced with data modeling and performance tuning for both OLAP and OLTP databases
- Experienced with software engineering bestpractices including but not limited to version control (Git Subversion etc. CI/CD (Jenkins Maven etc. automated unit testing and Dev Ops
Education and Professional Certifications
- Bachelor s degree and 2 to 5 years of Computer Science IT or related field experience
- OR
- Master s degree and 1 to 4 years of Computer Science IT or related field experience
- AWS Certified Data Engineer preferred
- Databricks Certificate preferred
- Scaled Agile SAFe certification preferred
Soft Skills:
- Excellent analytical and troubleshooting skills.
- Strong verbal and written communication skills
- Ability to work effectively with global virtual teams
- High degree of initiative and selfmotivation.
- Ability to manage multiple priorities successfully.
- Teamoriented with a focus on achieving team goals.
- Ability to learn quickly be organized and detail oriented.
- Strong presentation and public speaking skills.
Date Engineer
Education
Graduate
Employment Type
Full Time
Key Skills
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