Data Engineer (Middle) ID26045 - AgileEngine

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.
  

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.
  

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.