Description
The scope of this Project is to develop and implement an Enterprise Data Warehouse (EDW) solution specifically tailored to the Company’s compensation data needs. This includes designing, building, and maintaining data pipelines for the ingestion, transformation, and validation of compensation-related datasets to support the Company’s analytics requirements. It is essential to ensure that the data feed generated through the compensation process is accurately validated, fully aligned with stakeholder expectations, and adheres to all applicable business rules.
Requirements
Technology Stack Reference: Development activities will primarily leverage Snowflake, Matillion, AWS Services (S3, Lambda, DynamoDB, CloudWatch), GitHub, Cortex, and Snowflake Intelligence.
Tech stack & core skills: Aligned with the existing CDW stack, including Snowflake, Matillion, AWS services
(S3, Lambda, DynamoDB, CloudWatch), along with GitHub.
Role expectation: We are looking for an expert Data Engineer (5–10 years of experience) with good English
speaking and strong communication skills and a proactive mindset to effectively probe and gather
requirements as well from the sales team.
Stakeholder interaction: The resource gets involved in discussions with Sales Compensation stakeholders
along with Architect and other onshore developers, engaging in discussions to capture/gather
compensation-related requirements.
Requirements Gathering: Collaborating with business stakeholders to map, refine, and translate business logic into scalable technical workflows.
Data Source Analysis: Analyze target data structures and underlying systems.
Pipeline Design: Design data processing pipelines using the defined technology stack.
ETL/ELT Development: Development of data ingestion, processing, and Extract, Transform, Load (ETL) jobs.
Data Cleaning & Validation: Implementing validations, data cleaning steps, and quality checkpoints.
Deployment & Testing: Deployment and thorough testing of ETL jobs within the development and staging environments.
Job responsibilities
Responsibilities: The role will primarily focus on data engineering activities (ETL queries, building data pipelines), work closely with the Architect (and onshore data platform team) Additionally, join the discussion with the sales team to understand and gather the requirements for sales
compensation data.
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, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
