Tredence
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Kolkata · On-site · 3-5 Yrs · 4 days ago
Business consulting · 1001 to 5000 Employees · San Jose, US
As with every marathon, the last mile is the toughest. It is here that enterprises lose the strength and resolve to take analytics beyond insight generation and use them to generate value. That’s where we saw a gap waiting to be filled - in activating data and operationalizing insights for real, tangible business impact. We’re focused on bridging the gap between insights delivery and value realization, partnering with our clients to help them cross the last-mile gap in analytics. This DNA pushes our ecosystem to go beyond possible, helping our clients re-think their limitations and overcome their norms of ‘possible’.
Hiring: Engineering
What employees say
+ Enthusiastic and ambitious work culture. Tredence enables everyone with the tools, means and the backing one needs to succeed and grow.
− As a fast growing organization, baseline expectations would be to learn and adapt fast, be on the toes and fail fast. Not a con but the rapid pace in work is not for all.
More reviews on the company profile.
Interview experience · Data Engineer
It was very easy with basic dsa in your preferred language and basic sql concepts like joins. Prepare basic dsa and sql it will help to get on interview process
Very_easy difficulty · Chennai · 440 reports
More interview insightsJob description
Overview
Technical Skills Required: At least Intermediate level in AWS ETL (Glue, lambda, Batch, EMR) & API Development(Fast API + Core python), Redshift AWS Redshift: Worked on creating provisioned clusters Expert knowledge of Workload management Materialized View, DDL Optimizations, Json handling AWS Glue to Redshift Loads Row & Column Level Security AWS Glue (ETL, Jobs, Crawlers, Cat
Responsibilities
- Collaborate with business stakeholders to analyze data requirements and define ETL & API architecture aligned with business goals.
- Design and implement scalable ETL workflows using AWS Glue and PySpark for ingesting structured and semi-structured data into the AWS data lake.
- Develop reusable Glue jobs and crawlers for automated metadata cataloging and data transformations.
- Optimize Glue job performance using dynamic frame partitioning, job bookmarking, and parallelism tuning.
- Integrate Glue with other AWS services such as S3, Athena, Redshift, Lambda, and CloudWatch for end-to-end orchestration and monitoring.
- Lead data lakehouse implementation leveraging Glue with Iceberg for versioned, transactional data storage.
- Ensure secure access to datasets using fine-grained IAM policies and Lake Formation(Good to Have). Mentor junior engineers, enforce coding best practices, and participate in code reviews and architectural discussions.
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Job application FAQ
Last updated 7 November 2026
- How do I apply for Senior Data Engineer-AWS at Tredence?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tredence may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Data Engineer-AWS remote or on-site in Kolkata, West Bengal?
- This listing is marked on_site with location Kolkata, West Bengal. Confirm details on the job description before applying.
- What skills matter for this Senior Data Engineer-AWS role at Tredence?
- This is a senior Senior Data Engineer-AWS role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.