61 applicants

Company

AgileEngine · 7 hours ago

Data Engineer (Middle/Senior) ID26045

United States

Full-time

Remote

Mid, Senior Level

4+ years exp

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Product DesignSoftware

Growth Opportunities

No H1B

U.S. Citizen Only

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Responsibilities

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonCloud Data PlatformData LakeApache SparkSnowflakeJavaAWSGCPAzureETL/ELTNoSQL DatabasesMicroservicesREST APIGraphQL APIDatabase DesignAirflowBig QueryKafkaUpper-Intermediate EnglishTechnical Communication

Required

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