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It’s fun to work in a company where people truly BELIEVE in what they are doing!
We’re committed to bringing passion and customer focus to the business.
Location – Open
Position: Data Engineer (GCP) – Technology
If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As an Analytics Technology Engineer, you will work on the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services.
Responsibilities:
- Be an integral part of large scale client business development and delivery engagements
- Develop the software and systems needed for end-to-end execution on large projects
- Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
- Build the knowledge base required to deliver increasingly complex technology projects
Qualifications & Experience:
A bachelor’s degree in Computer Science or related field with 5 to 10 years of technology experience
Desired Technical Skills:
- Data Engineering and Analytics on Google Cloud Platform:
- Basic Cloud Computing Concepts
- Bigquery, Google Cloud Storage, Cloud SQL,
- PubSub, Dataflow, Cloud Composer, GCP Data Transfer,
- gcloud CLI
- Python, Google Cloud Python SDK, SQL
- Experience in working with Any NoSQL/Columnar / MPP Database
- Experience in working with Any ETL Tool (Informatica/DataStage/Talend/Pentaho etc.)
- Strong Knowledge of database concepts, Data Modeling in RDBMS Vs NoSQL, OLTP Vs OLAP, MPP Architecture
Other Desired Skills:
- Excellent communication and co-ordination skills
- Problem understanding, articulation and solutioning
- Quick learner & adaptable with regards to new technologies
- Ability to research & solve technical issues
Responsibilities:
- Developing Data Pipelines (Batch/Streaming)
- Developing Complex data transformations
- ETL Orchestration
- Data Migration
- Develop and Maintain Datawarehouse / Data Lakes
Good To Have:
- Experience in working with Apache Spark / Kafka
- Machine Learning concepts
- Google Cloud Professional Data Engineer Certification
If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!
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