What you will do
- Work collaboratively with other engineers, architects, data scientists, analytics teams, and business product owners in an agile environment;
- Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools;
- Design and build robust, reusable, and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured batch and real-time streaming data;
- Build data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications;
- Assist in selection and integration of data related tools, frameworks, and applications required to expand platform capabilities;
- Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.
Must haves
- 4+ years of experience with Python or Java (Python preferably, or willingness to work with this language);
- 4+ years of experience in building data lake, cloud data platform leveraging cloud (GCP/AWS) cloud native architecture, ETL/ELT, and data integration ;
- Three years of development experience with cloud services ( AWS,GCP,AZURE) utilizing various support tools (e.g. GCS, Dataproc, Cloud Data flow, Airflow(Composer), Kafka , Cloud Pub/Sub);
- Expertise in developing distributed data processing and Streaming frameworks and architectures (Apache Spark, Apache Beam, Apache Flink);
- Experience with Snowflake is a must;
- In-depth knowledge of NoSQL database technologies (e.g. MongoDB, BigTable, DynamoDB);
- Expertise in build and deployment tools – (Visual Studio, PyCharm, Git/Bitbucket/Bamboo, Maven, Jenkins, Nexus);
- 4+ years of experience and expertise in database design techniques and philosophies (e.g. RDBMS, Document, Star Schema, Kimball Model);
- 4 years of experience with integration and service frameworks (e.g API Gateways, Apache Camel, Swagger API, Zookeeper, Kafka, messaging tools, microservices);
- Expertise with containerized Microservices and REST/GraphQL based API development;
- Experience leveraging continuous integration/development tools (e.g. Jenkins, Docker, Containers, OpenShift, Kubernetes, and container automation) in a Ci/CD pipeline;
- Advanced understanding of software development and research tools;
- Attention to detail and results oriented, with a strong customer focus;
- Ability to work as part of a team and independently;
- Analytical and problem-solving skills;
- Problem-solving and technical communication skills;
- Ability to prioritize workload to meet tight deadlines;
- Should have working experience with wealth asset management projects;
- Upper-intermediate English level.
Nice to haves
- Airflow;
- Big Query;
- Kafka.
About the project
The benefits of joining us
Professional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Your AgileEngine journey starts here
Test task
We will review your CV and send you a test task via email
Intro Call
Our recruitment team will reach you to discuss available opportunities
WFH or a comfy office? Why not both?
International Projects
Technical Interview
You will have an interview with your future team lead