Data Engineer Job in Triarq Health

.Job Responsibilities:

• Build a scalable infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Google/AWS/Azure services this includes fixing coding errors and other data-related problems.
• Enhancing the data mining process primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine for building analytic systems
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Performing initial analysis to assess the quality of the data by Processing, cleansing, and verifying the integrity of data pre-processing of structured and unstructured data which is used for analysis
• Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Building models to address business problems
• Build predictive models and machine-learning algorithms
• Identify valuable data sources and automate data collection processes
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborating with engineering and product development teams, organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.

Skills Required:

• Proven experience as a Data Scientist or Data Analyst
• Experience with big data tools: Cloud SQL, Pub/Sub, Apache Beam, Dataflow architectures, and datasets.
• Experience in data mining Manipulating, processing, and extracting value from large, connected datasets.
• Experience with batch/stream processing & highly scalable data warehouse.
• Strong analytical skills related to working with structured/unstructured datasets.
• Excellent understanding of machine learning techniques and algorithms
• Experience using business intelligence tools such as Tableau, power bi etc.
• The ability to analyse, model and interpret data
• Mathematical and statistical skills are also valuable to help gather, measure, organize, and analyse data.

Must Have Skills: SQL, Dataflow, Apache beam, Java/Python
Good to have Skills: MS SQL server, SSIS, MS Excel

Education: Graduate (Any stream), Post-Graduate (Preferred)
Work experience: 3+ years
Employment Type: Full Time Permanent (Candidate should be ready to give min. 2 yrs. of commitment)