

Gandiv Insights LLC
Lead Data Engineer - Retail Experience
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
March 11, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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.
Weβre 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.
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.
Weβre 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.





