Data Engineer

As an Data Engineer, you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards .

Experience: -

• 10+ Years

Location: -

• Remote

Responsibilities: -

• Data profiling to identify primary keys and issues with the data.
• Write ETL to bring data onto the client's Data Platform, de-duplicate data, create or update dimensional data structures, and produce use case-specific output.
• Unit testing, functional testing, and performance testing and tuning.
• Interacting with the Product team to understand and refine requirements.
• Interacting with QA to address reported findings.
• Working individually and as a team to achieve our goals.
• Taking initiative to take on additional work if the present work stream slows down.
• Mentor junior team members and help to bring new team members onto the team.
• Other similar or related activities.

Educational Qualifications: -

• Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

SQL: Highly Skilled. Must be familiar with common table elements (CTEs), complex joins, and analytic & windowing functions.

Python: Some experience is required. We prefer Intermediate or higher skill.

Snowflake: Prefer candidates with real-world experience using Snowflake.

Data Profiling: Must be able to identify unique and primary keys and determine cardinality, data type, precision, and scale, and skew.

Effective communication skills to communicate internally within our team and externally across other teams, notably Product and QA.

Understands the scope and context of the work and takes initiative to achieve the goals, rather than waiting to take specific direction.

Should be able to deal with confidential information and/or issues using discretion and judgment

Good to have skills: -

• Healthcare Industry Experience: Some experience is desired, preferably Payer experience.
• Data Modeling Experience desired.
• Python: Some experience desired. Specific Technologies Specific technologies to be used and level of proficiency?
• SQL: Highly skilled to expert level.
• Python: Some experience is desired with a preference for intermediate or higher skill.
• DBT: Prefer candidates with real-world DBT experience.
• Snowflake: Prefer candidates with real-world experience using Snowflake.