Amazon Kinesis jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-29, Amazon Kinesis appears in 163 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning Amazon Kinesis, with demand share up 6.5% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-29
Which roles want Amazon Kinesis?
Upload your resume and Skillenai will show which roles your Amazon Kinesis experience fits, which skills you already cover, and what is missing.
Frequently asked questions about Amazon Kinesis
+Is Amazon Kinesis in demand in 2026?
Yes. Amazon Kinesis appears in 163 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Data Engineer accounts for the most postings mentioning Amazon Kinesis (32.5% of all postings mentioning Amazon Kinesis).
+What jobs require Amazon Kinesis?
According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning Amazon Kinesis are Data Platform Architect (6.2% of that role’s postings mention Amazon Kinesis), Cloud Data Engineer (4.1% of that role’s postings mention Amazon Kinesis), Integration Developer (3.5% of that role’s postings mention Amazon Kinesis).
+What skills are commonly paired with Amazon Kinesis?
Across job postings indexed by Skillenai (90 days ending 2026-10-29), Amazon Kinesis most often appears alongside Python, SQL, Amazon S3, AWS Lambda, AWS Glue.
+Where is Amazon Kinesis most in demand?
As of 2026-10-29, the metro areas posting the most jobs requiring Amazon Kinesis are Hyderabad, Boston, Bengaluru, Pune, Berlin, according to the Skillenai jobs index.
+How can I keep up with new Amazon Kinesis content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Amazon Kinesis alongside the jobs index. You can subscribe to a daily email digest of new Amazon Kinesis content from your Skillenai account.
+Which skills come before and after Amazon Kinesis?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring Amazon Kinesis — last 90 days
Career paths around Amazon Kinesis
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Amazon Kinesis
Skills after Amazon Kinesis
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: python | 12 |
| Before: PySpark | 8 |
| Before: Power BI | 7 |
| Before: Apache Airflow | 7 |
| Before: Azure Data Factory | 6 |
| Before: BigQuery | 5 |
| Before: Azure Databricks | 4 |
| Before: tensorflow | 4 |
| After: Power BI | 5 |
| After: snowflake | 5 |
| After: Azure DevOps | 5 |
| After: sql | 4 |
| After: Azure Synapse Analytics | 4 |
| After: PySpark | 3 |
| After: python | 3 |
| After: docker | 3 |
Roles most likely to require Amazon Kinesis
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Data Platform Architect | 2 | 6.2% |
| Cloud Data Engineer | 2 | 4.1% |
| Integration Developer | 2 | 3.5% |
| Integrations Engineer | 1 | 3.0% |
| Delivery Consultant | 1 | 2.3% |
| Project Manager | 5 | 1.8% |
| AI Data Engineer | 1 | 1.5% |
| Data Platform Engineer | 4 | 1.4% |
| Cloud DevOps Engineer | 1 | 1.2% |
| Data Architect | 7 | 1.0% |
Roles with the most Amazon Kinesis postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 53 | 32.5% |
| Software Engineer | 37 | 22.7% |
| Data Architect | 7 | 4.3% |
| Project Manager | 5 | 3.1% |
| Data Platform Engineer | 4 | 2.5% |
| Site Reliability Engineer | 3 | 1.8% |
| Cloud Data Engineer | 2 | 1.2% |
| Cloud Security Developer | 2 | 1.2% |
| Data Platform Architect | 2 | 1.2% |
| DevOps Engineer | 2 | 1.2% |
Top companies posting jobs requiring Amazon Kinesis
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Beacon Biosignals | 10 |
| Caylent | 5 |
| Vinted | 5 |
| Capco | 4 |
| Disney | 3 |
| Barclays | 3 |
| Dentsuaegis | 3 |
| Spgi | 3 |
| FactSet | 3 |
| Mark43 | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for Amazon Kinesis
| Name | Postings | Share |
|---|---|---|
| Hyderabad | 10 | 6.1% |
| Boston | 9 | 5.5% |
| Bengaluru | 6 | 3.7% |
| Pune | 5 | 3.1% |
| Berlin | 2 | 1.2% |
| Buenos Aires | 2 | 1.2% |
| Chennai | 2 | 1.2% |
| India Hook | 2 | 1.2% |
| London | 2 | 1.2% |
Skills commonly paired with Amazon Kinesis
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Amazon Kinesis by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Amazon Kinesis postings by all Amazon Kinesis postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 575909efc05db2f6
- data_as_of
- 2026-10-29
- window_days
- 90