Job Description

BASIC QUALIFICATIONS- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)DESCRIPTIONSCOT\'s Automated Inventory Management (AIM) team is seeking talented individuals who enjoy the challenge of diving into complex problems and solving the unsolvable to help our executives make impactful business decisions. AIM teams owns Availability , Speed, Inventory & Auditing at Scale metrics that measures & improves the overall customer experience. We regularly work directly with executive leadership to improve that experience.As a Data Engineer, you will analyze large amounts of business data, solve real world problems, and develop metrics and business cases that will enable us to continually delight our customers worldwide. In this role, you will work closely with a team of Business Intelligence Engineers, Data Engineers and Data Scientists to automate and architect data pipelines, and to make the data more actionable to manage business at scale. Successful candidates will bring strong technical abilities combined with a passion for delivering results for customers, internal and external.Key job responsibilities

• Participate in the full development cycle for ETL: design, implementation, validation, documentation, and maintenance .
• Build and improve Data solutions by translating business requirements into robust, scalable, and supportable solutions that work well within the overall system architecture.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
• Monitor and troubleshoot operational or data issues in the data pipelines.

We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, IND | Hyderabad, TS, INDPREFERRED QUALIFICATIONS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets

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