Data engineer

Overview

SUMMARY: Data Engineer will be responsible for ETL and documentation in building AssistRx data warehouse and analytics capabilities Additionally, maintain existing systems/processes and develop new features, along with reviewing, presenting and implementing performance improvements

DUTIES AND RESPONSIBILITIES:

Build ETL (extract, transform and loading) jobs using Fivetran and dbt for our internal projects and for customers thist use various platforms like Azure, Salesforce, and AWS technologies

• Monitoring active ETL jobs in production.
• Build out data lineage artifacts to ensure all current and future systems are property documented
• Assist with the build out design/mapping documentation to ensure development is clear and testable for QA and UAT purposes

Assess current and future data transformation needs to recommend, develop, and train new data integration tool technologies

• Discover efficiencies with shared data processes and batch schedules to help ensure no redundancy and smooth operations
• Assist the Data Quality Analyst to implement checks and balances across all jobs to ensure data quality throughout the entire environment for current and future batch jobs
• Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence and MDM solutions, including Data Lakes/Data Vaults.

QUALIFICATIONS:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work 3-5 year's experience with a strong proficiency with SQL query/development skills Develop ETL routines that manipulate and transfer large volumes of data and perform quality checks
• Hands-on experience with ETL tools (e.g. Informatica, Talend, dbt, Azure Data Factory)
• Experience working in the healthcare industry with PHI/PII
• Creative, lateral, and critical thinker
• Excellent communicator
• Well-developed interpersonal skills
• Good at prioritizing tasks and time management
• Ability to describe, create and implement new solutions
• Experience with related or complementary open source software platforms and languages (eg Java, Linux, Apache, Perl/Python/PHP, Chef)
• Knowledge / Hands-on experience with Bl tools and reporting software (e g

Cognos, Power BI, Tableau)

Job Type: Full-time

Pay: From ₹800,000.00 per year

Schedule:

• Day shift
• Monday to Friday

Application Question(s):

• When can you join if you get selected? Please give in days.
• What is your expected CTC?
• How many years of total experience you have?
• This position is hiring urgently. Will you able to start immediately?

Experience:

• Data Engineer: 6 years (Required)
• Healthcare: 3 years (Required)
• SQL: 3 years (Required)

Work Location: In person