GCP Data Engineer

Capco is hiring a GCP Data Engineer in Bengaluru, Chennai and Hyderabad, India. Level rates it ; you can apply on Capco.

Level's read on this job

Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
Level classes it as a senior role.
Capco has 702 other open roles on Level.

AI in this role

Job Title: GCP Data Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore , Hyderabad , Chennai

Min 8-12 years of hands-on experience in GCP Data Engineering designing, building and supporting distributed systems and large-scale data processing systems in production with a proven track record.
Expertise in GCP Data Products e.g. BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer, Apache Kafka
Good hands on experience to Build Batch Data and Streaming Data Pipelines on Google Cloud
Strong coding/scripting experience developed in a commercial/industry setting (Python, SQL, Java, Scala or Go). Strong SQL ability to write complex queries is must;
Strong working experience with operational data stores, data warehouse, big data technologies and data lakes
Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop)
Good knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS.
Experience working with (Real Time streaming), such as Kafka technologies.
Experience and knowledge of automation and CI/CD – Jenkins, GitHub & Spinnaker.
Clear understanding of data structures, algorithms, software design, design patterns and core programming concepts.
Competent in client handling and lead the feature team to deliver outcome;

And any experience of these would be really useful:

Certification in GCP “Cloud Architect”, “Cloud Developer”, “Professional Data Engineer”

Certification in Apache Kafka (CCDAK)

How we rate this

GCP Data Engineer at Capco rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.