Middle/Senior Data Engineer
2 weeks ago
This is a remote position and we are hiring candidates from the whole country.
AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.
If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed
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.
- 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.
- Airflow;
- Big Query;
- Kafka.
- Professional growth
- Competitive compensation
- A selection of exciting projects
- 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.
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