Data Engineer - Big Data

About Us:

CureMD excels in providing advanced tools and technologies that empower healthcare professionals to make informed decisions about patient care. Our state-of-the-art solutions harness the power of data analytics, artificial intelligence, and machine learning to analyze patient information, decipher patterns, and render actionable insights. These advanced technologies equip physicians with profound insights into each patient's health, enabling them to formulate precise diagnoses, implement highly effective treatment strategies, and deliver top-quality care with ease.

Job Overview:

We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Job Responsibilities

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep data separated and secured across multiple data centers and storage zones.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Transform healthcare data to Fast Healthcare Interoperability Resource (FHIR) standard.

Qualifications

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Hudi, Hive, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Microsoft Sql Server, Postgres and MongoDb.
  • Experience with data pipeline and workflow management tools: Nifi, Airflow, etc.
  • Experience with AWS cloud services: Object Storage (S3), EC2, EMR, RDS, Redshift, Glue
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Compensation and Benefits:

💰 Financial:

• Competitive salary and bi-annual bonus.
• Fast track and uncapped career growth for high performers.
• Company-sponsored vehicle financing (car and bike).
• Interest-free loans.
• Provident Fund: CureMD matches up to 8% of your base salary.

🏥 Health and Wellness:

• In-house clinic with a team of certified male and female doctors with 24/7 telemedicine service.
• Hospital treatment monitoring by company doctors.
• Comprehensive health coverage for your immediate family (outpatient, inpatient, maternity and parents' inpatient).
• Exclusive health benefits and discounts at top class clinics and labs.

🤝🏻 Supportive Workplace:

• Pick-up and drop-off services for female employees.
• In-house daycare facility.
• In-house gym and recreational area to unwind.

📚 Continued Learning:

• Company-sponsored trainings, workshops, development programs and retreats.
• Paid specialized trainings/certifications.