ETL Data Engineer -Sr. Software Engineer
Spoke - Hyderabad
Gap Inc.
From company news to career opportunities, learn more about Gap Inc. and its portfolio of global brands including Old Navy, Gap, Banana Republic, and Athleta.About the Role
As a Senior Data Engineer, you will work closely with engineering, analytics, data science staff across various Gap Development Center to deliver the goals and objectives of the business.What You'll Do
- Design and build reusable components, frameworks and libraries at scale to support analytics products.
- Design and implement product features in collaboration with business and Technology stakeholders.
- Anticipate, identify and solve issues concerning data management to improve process and data quality.
- Clean, prepare and optimize data at scale for ingestion and consumption.
- Architecting & coding data pipelines and by integrating data from all sources including but not limited to ecommerce systems, POS, 3rd Party Vendors, etc.
- Build continuous integration, test-driven development and production deployment frameworks.
- Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards.
- Analyze and profile data for the purpose of designing scalable solutions.
- Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues.
- Mentor and develop other data engineers in adopting best practices.
Who You Are
- 5-8 years’ experience in developing applications using Relational Database e.g. Oracle , Teradata , MS-SQL Server
- 5-8 years’ programming experience in building high quality applications, data pipelines and analytics solutions and data products using RDBMS.
- 2+ years’ experience working on cloud platform (preferably Azure).
- Experience working with Data platforms, including Databricks etc.
- Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture
- Exposure & experience with cloud data-based data management practices especially in Azure, AWS.
- Strong understanding of ETL concepts and tools such as Datastage , ADF , Informatica etc.
- Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quick
- Lead/Work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams.
- Provide coaching and mentoring to junior team members
- Experience working in Agile and Scrum development process.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Agile Architecture AWS Azure Databricks Data management Data pipelines Data quality Data Warehousing E-commerce Engineering ETL Informatica MS SQL Oracle Pipelines RDBMS Scrum SQL TDD Teradata
Region:
Asia/Pacific
Country:
India
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