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Why this grade This listing scored 27/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Engineer will work closely with the rest of the product team and business peers to effectively execute Data project initiatives. This person should be able to deliver in a fast-paced and deadline-driven environment. Along with development, candidate will be responsible for maintenance of the data applications and would be expected to automate the processes with no or minimal human intervention.
Responsibilities:
- Development and maintenance of ELT snowflake data warehouse solutions
- Collaborate with internal and external technology and business partners to implement product changes
- Produce detail design and unit test documents, as required
- Critically analyze business requirements, architect and implement Data solutions
- Define, develop and maintain standards and processes to ensure effective ETL solution
- Production maintenance
- Work closely with product manager to develop and execute action plans to address gaps
- Recommend innovations that enhance and/or provide a competitive advantage to the organization
- Communicate effectively with both the business and technical teams
- Mentor junior offshore developers to accomplish results
- Build and continuously improve data engineering best practices
- Data engineering experience using ETL/ELT technologies
- ETL/ELT experience working with IICS, Informatica, StreamSets, DBT, Python, Data bricks, Snowflake and ADF or equivalent technologies
- Hands on experience with Snowflake
- Experience working with SSIS, SSRS, and Power BI
- Hands on experience working in an Azure environment.
- Experience working in insurance or reinsurance industry is highly desirable
- Hands on experience with agile methodologies
- Experience with Data warehouse/ data lake/ data hub modeling
- Experience working with external data feed to enrich internal data- desired
- Hands on experience with data standardization/conformance/transformation process
- Solid understanding of MDM and reference data
- Hands on experience with CI/CD process, especially in data engineering
- Experience working in SOX and SOC-2 compliant environment
- Experience with automated monitoring of data loads
- Support of production environment
- Strong understanding of technologies utilized in the industry and the ability to see their impact as well as enhancement management and product lifecycle development
- Knowledge of source code version control systems such as Git including branching/merging, resolving code conflicts, and 3-way and baseless merges
- Relevant experience working with 3rd party vendors to deliver results
- Bachelor’s degree in computer science, MIS or related field required
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 14 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.