Data Architect
Introduction
In today’s data-driven world, the role of a Data Architect is crucial for organizations aiming to harness the power of big data. Winning Edge, a prominent player in the pharmaceutical and life sciences sector, is looking for a skilled Data Architect with expertise in Python, PySpark, and AWS. This post will delve into the specifics of this job opportunity, the skills required, and the impact you can make in this pivotal role.
About Winning Edge
Winning Edge specializes in providing innovative solutions in the pharmaceutical and life sciences industry. With a commitment to excellence and a focus on data-driven decision-making, Winning Edge leverages cutting-edge technology to enhance operational efficiency and improve patient outcomes. As a Data Architect, you will play a vital role in this mission.
Job Overview
The Data Architect role at Winning Edge is a full-time, permanent position based in Bengaluru, requiring 8 to 12 years of experience in IT, with at least 3 years in a Data Architect capacity. This role falls within the Engineering - Software & QA department, emphasizing data warehousing and database administration.
Candidates should have a robust background in technologies such as SQL, Python, AWS (including Lambda, Glue, S3, Redshift, Athena, and IAM Roles & Policies), and PySpark, which are integral to the responsibilities of this position.
Key Responsibilities
As a Data Architect at Winning Edge, you will have a diverse range of responsibilities, including:
- Designing End-to-End Data Architectures: Develop scalable, reliable, and secure data architectures using Databricks.
- Managing Databricks Clusters: Optimize clusters, workspaces, and notebooks for efficient processing and storage.
- Implementing Best Practices: Ensure data governance, security, and compliance within the Databricks environment.
- Providing Technical Leadership: Mentor junior team members and offer guidance on Databricks and big data technologies.
- Overseeing Data Integration Processes: Design processes to ingest, clean, and transform data from various sources.
- Monitoring Performance: Tune data architecture and Databricks performance for large-scale data workloads.
- Cost Optimization Strategies: Implement strategies for efficient resource utilization in the Databricks environment.
- Staying Updated: Keep abreast of the latest Databricks features and industry trends for continuous improvement.
- Agile Development Experience: Leverage 3+ years of Agile development and code deployment using GitHub and CI-CD pipelines.
- Job Orchestration: Utilize 2+ years of experience in job orchestration using Airflow.
- Data Modeling Expertise: Design, create, and manage large datasets and data models.
Required Qualifications
To be considered for this role, candidates should possess the following qualifications:
- Education: A bachelor’s or master’s degree in Computer Science, Information Technology, or a related field.
- Experience: 8+ years of overall IT experience, with at least 3 years specifically as a Data Architect.
- Technical Skills: Proficiency in SQL, Python, AWS (Lambda, Glue, S3, Redshift, Athena, IAM Roles & Policies), and PySpark.
- Databricks Experience: Hands-on experience with Databricks, including managing clusters and implementing data architectures.
- Agile Methodologies: Familiarity with Agile development processes and tools, including GitHub and CI-CD pipelines.
- Data Orchestration: Experience with job orchestration tools like Airflow.
- Data Modeling: Strong expertise in data modeling and managing large datasets.
The Impact of a Data Architect
As a Data Architect, your contributions will significantly impact Winning Edge’s operations. By designing robust data architectures, you will ensure that the organization can efficiently manage and analyze large datasets, leading to informed decision-making and improved operational outcomes. Your work will not only support current projects but also pave the way for future innovations in the pharmaceutical and life sciences fields.
Why Join Winning Edge?
Joining Winning Edge means becoming part of a dynamic team that is dedicated to making a difference in the pharmaceutical and life sciences industry. The company values innovation, collaboration, and continuous learning, providing employees with opportunities to grow professionally and personally. As a Data Architect, you will work with cutting-edge technologies and have the chance to shape the future of data management in the industry.
Application Process
If you are interested in applying for the Data Architect position at Winning Edge, please submit your application through the following link: Apply Here.
Conclusion
The role of a Data Architect is vital in today's data-centric landscape, especially within the pharmaceutical and life sciences sectors. At Winning Edge, you have the opportunity to leverage your skills in Python, PySpark, and AWS to design innovative data solutions that drive efficiency and improve outcomes. If you have the experience and passion for data architecture, consider applying for this exciting position today!
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