Description:
We are looking for a Mid Level Data Engineer to join our team!
Our client is a growing startup focused to unleash the power of augmented intelligence to optimize claim outcomes.
The selected person will work together with the client on a backlog of tasks, which include the following highlights:
Develop and maintain ETL processes to ensure smooth data extraction, transformation, and loading from various sources to data storage solutions.Assist in designing and implementing data pipelines that support real-time and batch processing, ensuring scalability and efficiency.Collaborate with cross-functional teams such as data scientists, analysts, and other engineers to gather data requirements and ensure proper data flow.Support database design and development, including optimizing queries and data models for better performance. Requirements: Candidates with 3+ years' experience in software engineering, building large scale systems.Experience with the following software/tools is highly desired:
Highly proficient with PythonSQL and NoSQL databases like MySQL, Postgres, DynamoDB, ElasticsearchWorkflow management tools like AirflowAWS cloud services: RDS, AWS Lambda, AWS Glue, AWS Athena, EMR (equivalent tools in the GCP stack will also suffice)Strong programming skills in at least one of the following languages. Python preferred, Java and/or C++ accepted.Strong analytical skills and advanced SQL knowledge, indexing, query optimization techniques.Experience implementing software around data processing, metadata management, ETL, and scaling tools like Airflow and Kubernetes.Experience working with cross-functional teams in a fast-paced environment.Knowledge of healthcare data pertaining to insurance claims is helpful.Ability to translate data needs into detailed functional and technical designs for development, testing and implementation.Ability to identify and communicate risks and issues affecting business rules, functional requirements and specifications.Ability to serve as a liaison between technical, quality assurance and non-technical stakeholders throughout the development and deployment process. Job Responsibilities: Provide technical leadership in data engineering team, driving technology decisions, mentoring others, and contributing significantly on an individual level.Build frameworks to handle data at high scale and data cataloging tools like AWS Glue on top of a multi-tiered data lake storage.Use exploration and analytic tools like AWS Athena/Presto to probe and validate data.Build robust data processing pipelines using Airflow, MLFlow or similar and integrate with multiple components and data sources and sinks.Design and architect new product features, champion the use of cutting edge technologies and tools and mentor the team in the adoption of these new technologies.Collaborate with the Machine Learning team to ensure that data processing, structure and accessibility maximizes model performance.Work on a bi-weekly sprint schedule in a fast-paced startup environment. Participate in and contribute to scrum meetings i.e. daily stand-up, sprint planning, and retrospectives.Deliver value in the form of timely, high quality, performant software components and services.Collaborate with product owners and stakeholders to plan and define requirements. What We Offer: Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.Collaborative Environment: Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules. We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions.Professional Development: Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings. We also offer the chance to travel internationally.Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses. About GlobalLogic:
GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world.
By integrating experience design, complex engineering, and data expertise, we help our clients imagine what's possible, and accelerate their transition into tomorrow's digital businesses.
Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries.
GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.
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