TekWissen India
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Chennai · Hybrid · 7-10 Yrs · 1 day ago
Business consulting · 501 to 1000 Employees · Ann Arbor, US
TekWissen provides unique portfolio of innovative capabilities that seamlessly combines our client’s insights, strategy, design, software engineering and systems integration. Our tightly integrated offerings are tailored to client’s requirements.
Hiring: Engineering
What employees say
+ At Tekwissen, team members are willing to help whenever needed, it made me feel a positive atmosphere.
− Nothing that sort of negative to mention.
More reviews on the company profile.
Interview experience · AI Engineer
Preety smooth, 2 rounds of interview, was easy, was more focussed on my rag projects since the client had an opportunity focussed on rag and azure services. Also was focussed on all the projects that I worked in my previ
Average difficulty · Bengaluru · 16 reports
More interview insightsJob description
Overview
Job Title: Data Engineering Engineer III
Responsibilities
- As a GCP Data Engineer, you will integrate data from various sources into novel data products.
- You will build upon existing analytical data, including merging historical data from legacy platforms with data ingested from new platforms.
- You will also analyze and manipulate large datasets, activating data assets to enable enterprise platforms and analytics within GCP.
- You will design and implement the transformation and modernization on GCP, creating scalable data pipelines that land data from source applications, integrate into subject areas, and build data marts and products for analytics solutions.
- You will also conduct deep-dive analysis of Current State Receivables and Originations data in our data warehouse, performing impact analysis related to the clients' Credit North America's modernization and providing implementation solutions.
- Moreover, you will partner closely with our AI, data science, and product teams, developing creative solutions that build the future for the client's Credit.
Qualifications
- We are looking for candidates with a broad set of analytical and technology skills across these areas and who can demonstrate an ability to design the right solutions with the appropriate combination of GCP and 3rd party technologies for deployment on Google Cloud Platform.
- Dataproc, Big Query,, Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API
- AI/ML
- Engineer 3 Exp: 7+ years Data Engineering
Education
- Bachelor's Degree
- Bachelor's Degree
- Design and build production data engineering solutions on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, Dataform, Astronomer, Data Fusion, DataProc, Cloud Composer/Air Flow, Cloud SQL, Compute Engine, Cloud Functions, Cloud Run, Artifact Registry, GCP APIs, Cloud Build, App Engine, and real-time data streaming platforms like Apache Kafka and GCP Pub/Sub. ¿Design new solutions to better serve AI/ML needs. ¿Lead teams to expand our AI-enabled services.
- Partner with governance teams to tackle key business needs.
- Collaborate with stakeholders and cross-functional teams to gather and define data requirements and ensure alignment with business objectives.
- Partner with analytics teams to understand how value is created using data. ¿Partner with central teams to leverage existing solutions to drive future products.
- Design and implement batch, real-time streaming, scalable, and fault-tolerant solutions for data ingestion, processing, and storage.
- Create insights into existing data to fuel the creation of new data products.
- Perform necessary data mapping, impact analysis for changes, root cause analysis, and data lineage activities, documenting information flows.
- Implement and champion an enterprise data governance model.
- Ensure knowledge transfer and ease of system maintenance.
- Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures.
- Provide production support by addressing production issues as per SLAs.
- Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure.
- Work within an agile product team.
- Deliver code frequently using Test-Driven Development (TDD), continuous integration, and continuous deployment (CI/CD).
- Continuously enhance your domain knowledge.
- Stay current on the latest data engineering practices.
- Contribute to the company's technical direction while maintaining a customer-centric approach.
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Job application FAQ
Last updated 19 September 2026
- How do I apply for Data Engineering Engineer III at TekWissen India?
- 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. TekWissen India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineering Engineer III role?
- 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 Data Engineering Engineer III remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Data Engineering Engineer III role at TekWissen India?
- This is a mid-level Data Engineering Engineer III role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.