Data Analyst

• 6-8 years direct experience as a SQL Developer.
• 3+ years’ experience in ETL tools like SSIS, SSRS- Reports
• Proven Microsoft T-SQL skills.
• 3+ years of Data Analysis in a financial institution is preferred.
• Demonstrated knowledge of large, relational databases and data structures.
• Strong experience in database security
• Strong understanding of ETL concepts.
• Proficient in standard business and database software including: MS Office, MS Access, and SSMS.
• Experience with Agile using JIRA software, Confluence or combination of both.

ABOUT EPISOURCE:

Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, analytics to enable better documentation of care for patients with chronic diseases.

The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? Our analytics platforms and datalakes ingest huge quantities of data daily, to help our clients deliver services. We have also built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflow. Combined, these build a foundation of tools and practices used by quantitative staff across the company.

What’s our poison you ask? We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve.

ABOUT THE ROLE:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations, clinical named entity recognition, improving patient health, clinical suspecting and information extraction from clinical notes.

This is a role for highly technical data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship data-driven architectures that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company and help build a foundation of tools and practices used by quantitative staff across the company.

During the course of a typical day with our team, expect to work on one or more projects around the following;

1. Create and maintain optimal data pipeline architectures for ML

2. Develop a strong API ecosystem for ML pipelines

3. Building CI/CD pipelines for ML deployments using Github Actions, Travis, Terraform and Ansible

4. Responsible to design and develop distributed, high volume, high-velocity multi-threaded event processing systems

5. Knowledge of software engineering best practices across the development lifecycle, coding standards, code reviews, source management, build processes, testing, and operations  

6. Deploying data pipelines in production using Infrastructure-as-a-Code platforms

7. Designing scalable implementations of the models developed by our Data Science teams  

8. Big data and distributed ML with PySpark on AWS EMR, and more!

BASIC REQUIREMENTS 

1.  Bachelor’s degree or greater in Computer Science, IT or related fields
   
   

2.  Minimum of 5 years of experience in cloud, DevOps, MLOps & data projects
   
   

3. Strong experience with bash scripting, unix environments and building scalable/distributed systems
   
   

4. Experience with automation/configuration management using Ansible, Terraform, or equivalent
   
   

5. Very strong experience with AWS and Python
   
   

6. Experience building CI/CD systems
   
   

7. Experience with containerization technologies like Docker, Kubernetes, ECS, EKS or equivalent

8. Ability to build and manage application and performance monitoring processes

Requirements:

• Should have strong experience in Automation testing, developing, and executing test cases.
• Should have strong experience in Selenium with Java & Cucumber framework. 
• Should have a good amount of experience working with Mobile Application testing using Appium
• Hands-on experience in CI/CD tools (setting up jobs) like Jenkins
• Good knowledge of software testing life cycle: Test planning, Test design and execution, Defect Management, and Test Reporting.
• Hands-on experience in Functional, Regression, System, and UAT Testing. 
• Good exposure to both Web and Mobile Automation Testing. 
• Excellent defect finding, debugging, and root cause analysis capabilities. 

• Working experience on Python or Java Selenium, POM, TestNG, Maven, Web application automation, Eggplant scriptingJIRA, Maven, Eclipse.
• Expertise in automating the manual tasks with Batch - Shell scripting, API framework development, Automation framework migration
• Functional expertise on Eclipse - Java, TestNG,Maven, Web application automation, Senstalk
• Exposure to the applications launched on the Linux platforms.
• The role expects overall strong exp in Web Testing, DB test, and API Test areas.
• Strong knowledge of Scripting and Framework (Selenium Webdriver, Appium and API)

• Provide overall thematic leadership and guidance on agriculture and allied activities to different project teams

• Field visits to project implementation areas

• Involve and assist in the implementation of agriculture-related projects and monitoring of the same

• Providing active technical support to various agriculture and allied activities and responding to queries of the farmers/ project team being undertaken in different districts

• Assist in preparation of rehion-based advisories and POPs (Package of Practices) for different crops

• Assist in data collection and analysis of various agricultural Interventions studies

• Liaison with government functionaries, government departments,Universities and KVKs

• Technical support and guidance to staff, identified farmers, SHG groups, village development committees as and when required on production systems, crop insurance, crop advisory, micro-irrigation, animal husbandry and organic cultivation

• Preparation of crop calendar for all crops grown in the project villages covering all the season i.e. Kharif, Rabi and Zaid

• Support the conduct of trainings & development manuals

• Prepare presentations and reports, produce written outputs of the implementation work and research outcomes

• Document the best practices and maintaining data base

• Contribute to the research on agriculture component

• Perform any other team responsibilities / duties as assigned from time to time

• Manage incoming & outbound calls
• Identify and assess customers’ needs to achieve satisfaction
• Build sustainable relationships and trust with customer accounts through open and interactive communication
• Handle customer complaints, provide appropriate solutions and alternatives within the time limits; follow up to ensure resolution
• Proven customer support experience or experience as a client service representative
• Ability to multi-task, prioritize, and manage time effectively
• Strong phone contact handling skills and active listening

 Skills:-

• Should have Good Communication skill.
• Should have good knowledge of Excel.
• Should have good writing skills.