INTL - India - Senior Data Engineer

Insight Global
Erlanger, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 33K

Job location

Erlanger, United States of America

Tech stack

API
Artificial Intelligence
Data analysis
Azure
Big Data
ETL
Data Structures
Relational Databases
Document-Oriented Databases
Python
Microsoft SQL Server
NoSQL
Performance Tuning
SQL Databases
T-SQL
Unstructured Data
Scripting (Bash/Python/Go/Ruby)
Azure
Generative AI
Indexer
PySpark
Information Technology
Data Management
Data Pipelines
Databricks

Job description

A fortune 50 organization is seeking a Senior Data Engineer for a long-term opportunity that will sit Hybrid onsite in Bengaluru India. Duties include the following:

Supporting digital product for business that allows sales analyses of various items Pull portfolio data of core items for analysis Design, develop, test and document data integrations and assist with deployment, validation and hyper care processes Maintain and support existing ETL/ELT integrations leveraging technical documentation Understand and navigate a wide array of source data systems (enterprise data warehouses, relational databases, IT systems, in house and COTS applications, documents, APIs, unstructured data, big data, NoSQL databases, etc.) Analyze data and assist with developing insights to enable business decision making Doing source mapping, building ETL pipelines using ADF pipelines in conjunction with T-SQL, integration between data platforms (50% building pipelines/50% integrations) Indexing and performance tuning of SQL server

Requirements

5+ years of experience as a Data Engineer 5+ years of experience with SQL and T-SQL 3+ years with azure data factory to build ETL pipelines 3+ years of experience with databricks 3+ years of experience with Python or PySpark scripting 3+ years of experience working with Azure environment Ability to work on various data structures from structured to unstructured (experience working on big data & AI workloads including Generative AI)

Nice to Have Skills & Experience

Experience working manufacturing, food or beverage industries

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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