Tredence
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Kolkata · On-site · 3-5 Yrs · Aug 30
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
• Have Implemented and Architected solutions on Google Cloud Platform using the components of GCP
Responsibilities
- Role: Senior Data Engineer-GCP
- Location:Kolkata
Qualifications
- Have Implemented and Architected solutions on Google Cloud Platform using the components of GCP
- Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases.
- Certified in Google Professional Data Engineer/Solution Architect is a major Advantage.
- Bachelor's or Master's degree in Computer Science, Engineering or a related field.
- Design, develop, and deploy scalable ETL/ELT pipelines using PySpark on GCP.
- Utilize GCP services extensively, including BigQuery (data warehousing), Cloud Storage, Dataproc and Dataflow.
- Optimize PySpark jobs for performance and reliability, and fine-tune BigQuery queries.
- Implement complex transformations and process large volumes of structured/unstructured data using Spark SQL and PySpark.
- Build and manage automated workflows using Apache Airflow or Cloud Composer.
- Strong proficiency in and SQL is essential.
- Extensive hands-on experience with PySpark.
- Proven experience with Google Cloud Platform (GCP) services.
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile