AWS Data Engineer
Syntricate Technologies
Seeking an AWS Data Engineer with hands-on experience in Pyspark, EMR scripts, and strong SQL knowledge. Finance industry experience is a plus.
Last checked on September 7, 2026. We may earn a commission when you click through.
AWS Data Engineer
Syntricate Technologies
Updated 2 days agoYou'll be redirected to talent.com
This position is ideal for skilled data engineers looking to transition into finance. However, the absence of salary details may deter some candidates who prioritize compensation clarity.
About this role
Seeking an AWS Data Engineer with hands-on experience in Pyspark, EMR scripts, and strong SQL knowledge. Finance industry experience is a plus.
About the Company
Syntricate Technologies is a leading provider in the tech solutions industry, specializing in finance-related projects.
Key Highlights
- ✓ Hands-on experience with Pyspark and EMR scripts
- ✓ Strong SQL and PL/SQL skills required
- ✓ Familiarity with CICD tools like Jenkins and Bitbucket
- ✓ Finance industry experience preferred
💡 Honest Take: While the role looks appealing, the lack of salary transparency could indicate budget constraints. Be prepared for a competitive interview process, especially if you're coming from a different industry.
Pros
- ✓ Opportunity to work with cutting-edge technology
- ✓ Potential for growth in the finance sector
- ✓ Hands-on experience with sought-after skills
Cons
- ✗ No salary information provided
- ✗ Finance industry experience may be a hard requirement
- ✗ Position is not remote
Best For: Candidates with a strong background in data engineering and a desire to work in finance, particularly those familiar with AWS technologies.
Watch Out: The lack of salary disclosure might mean lower-than-expected offers, especially for candidates with niche skills.
You'll be redirected to talent.com
Expert Review
The AWS Data Engineer role at Syntricate Technologies focuses on skills in Pyspark and EMR scripts. Candidates should be ready to demonstrate their SQL and PL/SQL knowledge during the interview. The company's emphasis on finance experience could be a barrier for those not familiar with the sector.
Communication and teamwork are likely key components of the job, especially given the collaborative nature of data engineering in finance. Prospective applicants should prepare for a potentially rigorous interview process, reflecting the competitive nature of the industry. While the position offers a chance to work with advanced tools and technologies, the absence of salary details is a significant red flag.
Applicants may want to clarify compensation expectations before proceeding. Overall, this role is those eager to apply their data engineering skills in a dynamic financial environment.
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