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Job Summary


Salary
$7,000 - $13,000 SGD / Monthly

Job Type
Permanent

Seniority
Senior

Years of Experience
At least 5 years

Tech Stacks
RDS
Azkaban
Strategy
Analytics
Storm
EMR
EC2
Luigi
RedShift
Spark
NoSQL
Airflow
kafka
SQL
C++
PostgreSQL
Scala
Cassandra
Hadoop
Python
AWS
Java

Job Description


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The Data team within Doctor Anywhere oversees all of the company’s data-related requirements. The goal is to use the data to assist the company in making product/business decisions, and measure its effectiveness. This team works closely with our Product, Engineering, Business to develop a deep understanding of how our products are used and influence the company strategy.

We are seeking an enthusiastic and self-motivated Senior Data Engineer who will ensure the smooth operation of a high volume data pipeline solutions and architecture. You will be working closely in a cross-functional environment, collaborating with Data Scientists, Product Managers, Engineering Teams and Business Stakeholders, providing the organization with analytical data.

This role reports directly to the Head of Data.

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: automate manual processes, optimize data delivery, re-design infrastructure for greater scalability.
  • Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL, AWS & GCP ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, 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 our data separated and secured across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members to assist them in building and optimizing our product into an innovative industry leader.
Requirements

  • Degree in Computer Science/Statistics/Information Systems with minimally 5 years of experience in a Data Engineer role
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Has experience in building and optimizing ‘big data’ data pipelines, architectures and data sets
  • Has experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Has experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Has experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Has experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Has experience with GCP cloud services
  • Has experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Has experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Strong project management and organizational skills
  • Proven ability of building strong working relationships, both internal and external to the organization
  • Strong analytic skills related to working with unstructured datasets
  • Experience of working within a tech startup and hyper growth environment
  • Comfortable with fast paced operations and not be afraid to "roll up your sleeves" to get things done.
  • Strong written and verbal communication skills

Desired Skills and Experience
verbal communication skills, Scalability, Scala, Big Data, Pipelines, Hadoop, Scripting, Cassandra, EMR, Customer Acquisition, SQL, Python, Java, Bridge, Databases, C++

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