Gandiv Insights LLC

Lead Data Engineer - Retail Experience

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer with 12+ years of retail experience. It offers a remote contract, requiring expertise in SQL, Databricks, ADF, and BI tools, alongside strong skills in data ingestion, cloud platforms, and programming languages.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 11, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Leadership #Datasets #Azure #Deployment #Regression #Scripting #Cloud #ThoughtSpot #AWS (Amazon Web Services) #ADF (Azure Data Factory) #Documentation #SSAS (SQL Server Analysis Services) #Database Architecture #SQL (Structured Query Language) #Scala #Data Modeling #Python #Agile #Programming #"ETL (Extract #Transform #Load)" #R #NoSQL #Tableau #Data Ingestion #GitHub #Data Warehouse #Data Engineering #Kafka (Apache Kafka) #Spark (Apache Spark) #Stories #Jenkins #BI (Business Intelligence) #Jira #Databricks #DataStage #Java
Role description
Title: Lead Data Engineer with Retail Experience Location: Remote Experience level: 12+ years Description: We are looking at 12+ years of software development and deployment experience and hands-on experience with SQL, Databricks, ADF, Datastage (or other ETL tool), SSAS cubes, Cognos, Tableau, Thoughtspot and other BI tools. β€’ Write SQL for processing raw data, kafka ingestions, adf pipelines, data validation and QA. β€’ Knowledge working with APIs to collect or ingest data. β€’ Experience with advanced SQL and Python. β€’ Strong Database knowledge, SQL & No-SQL preferred. We’re excited about you if you have: β€’ 12+ years Experience building data ingestion pipelines (simulating Extract, Transform, Load workload), data warehouse or database architecture. β€’ Experience writing design documentation, Source to Target mapping documentation, manage confluence pages. β€’ Experience in converting business functionalities into technical jira stories. β€’ Experience in analyzing huge datasets, identify trends, patterns, and outliers to extract meaningful insights. β€’ Strong experience with data modeling, design patterns, building highly scalable Business Intelligence Solutions and distributed applications. β€’ Knowledge of cloud platforms, for example: Experience with Azure, AWS or equivalent cloud platforms. β€’ Experience with storing, joining, filtering, and analyzing data using SQL, Spark, Hive etc. β€’ Experience working with continuous integration framework, building regression-able code within data world using GitHub, Jenkins and related applications. β€’ Experience with programming/scripting languages such as Scala/Java/Python/R etc. (any combination). β€’ Analytical approach to problem-solving with an ability to work at an abstract level and gain consensus; excellent interpersonal, leadership and communication. β€’ Data-oriented personality. Motivated, independent, efficient and able to handle several projects; work under pressure with a solid sense for setting priorities. β€’ Ability to work in a fast-paced (startup like) agile development environment. β€’ Friendly, articulate, and interested in working in a fun, small team environment.