Java Back-End/Data Engineer – Big Data Role Retraining Program
Are you ready to launch your career in Big Data Engineering with world-renowned brand?
At Grid Dynamics we are looking for Mid/Senior Data engineers or Java Back-end engineers with some basic knowledge of data engineering and eagerness to transition into the exciting world of Big Data. This is a unique opportunity to participate in a 3-month retraining program designed and backed by globally recognized tech leader.
The retraining program is designed for mid and senior professionals with a solid technical foundation who are ready to upskill in modern data engineering tools and practices. This way the professionals will have the chance to develop their skills in the niche skillset of the client and upon successfully completing the retraining, join a long-term project and work on high impact solutions and scalable data infrastructure. During the program the contenders will take part in an educational program which contains 95% practice approach. Engineers will be working on emulated project and literally doing the same level of tasks as the regular engineers of the client.
Please note that it is not an internship or a beginner-level training program, it is a full-time paid position at Grid designed for experienced engineers. Participants in the retraining program will receive full-time compensation aligned with their experience level and technical background.
Essential functions
The program/project includes (but not limited):
Develop and maintain the uploader, a Go-based binary client, and its backend API for transferring data from third-party systems into the platform.
Oversee the metadata store responsible for managing dataset schemas, including schema creation, updates, and deletions.
Implement schema management capabilities for seamless integration with platform systems.
Design, create, and manage ETL (Extract, Transform, Load) pipelines within the platform.
Execute ETL pipelines upon upload events and ensure proper metadata storage for pipelines
Implement and maintain data ingestion pipelines, including data decryption, validation (optional), and ingestion using Airflow DAGs.
Monitor and report on data metrics, including upload size, number of objects, uploader entity, and path to ensure data integrity.
Qualifications
If you are a data engineer, you are expected to be experienced at
Python, SQL, Spark, AWS basic knowledge preferably (or knowledge of any other cloud service)
If you are a Java back-end engineer, you are expected to be experienced at
Core Python, SQL, Spark, AWS basic knowledge preferably (or knowledge of any other cloud service)
In both cases the knowledge of Scala will be a plus.
C1 and higher level of English is mandatory.
Would be a plus
Airflow
Snowflake
Knowledge of Apache Iceberg, Flink, Druid
Kafka
MySQL, PostgreSQL, MongoDB, NoSQL, Cassandra, Hadoop
Data Lakes, Data Warehouse
AWS(EKS, IAM, S3, SNS, SQS, MSK etc), Docker, Kubernetes
Theoretical knowledge of Big Data concepts
Commercial experience, working with real clients (not only pet-projects or RnD or Internships)
Eager to invest his/her time to education and learn new technologies
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.Apply to the position
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.
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