Associate, Data and Technology
Associate, Data and Technology
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Job Description
About Improzo
At Improzo (Improve Zoe; meaning Life in Greek) we believe in improving life by empowering our customers. Founded by seasoned Industry leaders we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data technology and operations has been evolving and learning together since our inception. Here you wont find yourself confined to a cubicle; instead youll be navigating open waters collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients seasoned leaders and carefully chosen peers like you!
People are at the heart of our success so we have defined our CARE values framework with a lot of effort and we use it as our guiding light in everything we do. We CARE!
Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action.
Adaptive: Agile and Innovative with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities.
Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty transparency and ethical responsibility.
Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services solutions and customer experiences.
About the Role:
We are seeking a highly skilled Data and Reporting Developer (Improzo Level - Associate) to join our dynamic team. As a Big Data Developer you will be responsible for designing developing and maintaining large-scale data processing systems using big data technologies. This is an exciting opportunity for a talented individual with a strong technical background and a passion for working with large datasets to deliver high-quality solutions.
Key Responsibilities:
- Big Data Application Development:
- Design develop and maintain scalable data pipelines and big data applications.
- Work with distributed processing frameworks (e.g. Apache Hadoop Apache Spark) to process and analyze large datasets.
- Write optimized and high-performance code to handle data ingestion processing and analysis in real-time or batch processing environments.
- Data Architecture:
- Collaborate with data architects and other stakeholders to design and implement data storage solutions using HDFS NoSQL databases (e.g. Cassandra HBase MongoDB) and cloud data platforms (e.g. AWS Azure Google Cloud).
- Develop and maintain ETL pipelines for data extraction transformation and loading (ETL) using ETL tools or Databricks
- Work with data lakes and data warehousing solutions for large-scale data storage and processing.
- Data Integration:
- Integrate various data sources into the big data ecosystem (e.g. data from relational databases APIs third-party tools IoT devices).
- Ensure seamless data flow between systems while maintaining data quality and integrity.
- Reporting Development:
- Design and Build reports on tools like Power BI Tableau Microstrategy
- Design basic UI / UX as per client needs
- Performance Optimization:
- Optimize big data workflows and queries to ensure high performance and scalability.
- Implement data partitioning indexing and other techniques to handle large datasets efficiently.
- Collaboration and Communication:
- Collaborate with cross-functional teams (data scientists analysts engineers etc.) to understand business requirements and deliver data solutions that meet those needs.
- Communicate complex technical concepts and data insights clearly to non-technical stakeholders.
- Testing and Quality Assurance:
- Perform unit testing and troubleshooting of data pipelines to ensure data consistency and integrity.
- Implement data validation and error-checking mechanisms to maintain high-quality data.
- Documentation:
- Maintain clear documentation of data pipelines architecture and workflows for ease of understanding modification and scaling.
- Agile Methodology:
- Participate in agile development processes including sprint planning daily stand-ups and code reviews.
- Innovation and Research:
- Stay up-to-date with the latest trends and advancements in big data technologies and techniques.
- Continuously evaluate new tools frameworks and technologies to improve performance and capabilities.
Qualifications:
- Bachelor s or master s degree in a quantitative field such as computer science statistics or mathematics.
- 1.5 years of experience on data management or reporting projects involving big data technologies
- Hands on experience or thorough training on technologies like AWS Azure GCP Databricks Spark.
- Experience in a Pharma Commercial setting or Pharma data management will be an added advantage
- General proficiency in programming languages such Python; experience with data management (SQL MDM etc.) and visualization tools like Tableau PowerBI etc.
- Excellent communication presentation and interpersonal skills.
- Attention to details biased for quality and client centricity.
- Ability to work independently and as part of a cross-functional team.
Benefits:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge tech projects transforming the life sciences industry
- Collaborative and supportive work environment.
- Opportunities for professional development and growth.
hdfs,sql,tableau,python,nosql databases,big data technologies,azure,microstrategy,mongodb,google cloud,data architecture,hbase,performance optimization,apache spark,cloud data platforms,power bi,apache hadoop,big data application development,documentation,etl pipelines,agile methodology,aws,data warehousing,data lakes,data integration,databricks,gcp,mdm,cassandra,powerbi
Employment Type
Full Time
