Chennai, Tamil Nadu, India
Space Exploration & Research, Information Technology
Full-Time
Intuit
Overview
Overview
Come join the GBSG Data Engineering team at IDC as a "Software Engineer - 2". We are leveraging Big Data Technologies to gain new Insights into our QuickBooks/IES customer experiences. Some of the technologies leveraged by our team include: Hadoop, Spark, and AWS Data Services. We foster an open and collaborative team environment where direct interactions are highly valued, and working code is prioritised over isolated efforts or 'working in a cave.' Transparency, teamwork, and real progress are at the heart of everything we do."
What you'll bring
Come join the GBSG Data Engineering team at IDC as a "Software Engineer - 2". We are leveraging Big Data Technologies to gain new Insights into our QuickBooks/IES customer experiences. Some of the technologies leveraged by our team include: Hadoop, Spark, and AWS Data Services. We foster an open and collaborative team environment where direct interactions are highly valued, and working code is prioritised over isolated efforts or 'working in a cave.' Transparency, teamwork, and real progress are at the heart of everything we do."
What you'll bring
- BS/MS in computer science or equivalent work experience.
- Experience in developing data pipelines using Cloud service providers such as AWS, Azure, GCP etc
- 2+ years of experience in developing data pipelines using Spark and Hive
- Experience in developing complex data models/dimension models on datalake
- Ideal candidate to have 3+ years of experience in end-to-end data warehouse implementations and at least 2 projects with 4TB+ data volume.
- Good knowledge of Operating Systems (Unix or Linux).
- Hands on experience in any of the programming languages (Shell scripting, Python, Java, etc).
- Must have been through several full life cycle Data Warehousing implementations and involved in scalability and performance related design aspects in datalake and ETL.
- Solid communication skills: Demonstrated ability to explain complex technical issues related to technical and non-technical audiences.
- Demonstrated understanding of the Software design and architecture process.
- Experience with unit testing and data quality automation checks
- Should be results oriented, self-motivated, accountable and work under minimal supervision.
- Excellent written, oral communication and presentation Skills.
- Strong understanding of data engineering and dimensional design fundamentals, good at SQL, integration (ETL), front-end analysis / data visualization, learns new technologies quickly.
- Good understanding of data warehouse schema design and granularity of the data.
- Good understanding of data federation techniques and aggregation of data at scale from multiple source systems.
- Designing and developing ETL pipelines across multiple platforms and tools including Spark, Hadoop and AWS Data Services.
- Gathering functional requirements, developing technical specifications, and project & test planning.
- Work with business users to develop and refine analytical requirements for quantitative data (view-through, clickstream, acquisition, product usage, transactions), qualitative data (survey, market research) and unstructured data (blog, social network).
- Designing and developing schema definitions and support data warehouse/mart to enable integration of disparate data sources from within Intuit and outside, aggregate it and make it available for analysis.
- Support large data volumes and accommodate flexible provisioning of new sources.
- As a key member of the team drive adoption of new technologies, tools, and process improvements to build world class analytical capabilities for web analytics, optimization, experimentation and personalization.
- Resolve defects/bugs during QA testing, pre-production, production, and post-release patches.
- Work cross-functionally with various Intuit teams: Product Management, Project Management, Data Architects, Data Scientists, Data Analysts, Software Engineers, and other Data Engineers.
- Contribute to the design and architecture of project across the data landscape.
- Experience with Agile Development, SCRUM, or Extreme Programming methodologies.
- Helps to align to overall strategies and reconcile competing priorities across organization.
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