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# Technology Lead | Data On Cloud - Platform | AWS

- **Company:** Ipolarity LLC
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $80,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Data Analysis, Apache HTTP Server, Big Data, Cloud Computing, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Migration, Data Systems, Data Warehousing, Relational Databases, Distributed Computing Environment, Geocoding, Apache Hadoop, Apache Hive, Python (Programming Language), Oracle (Applications), Performance Tuning, Cloud Services, SQL Databases, Sqoop, Teradata SQL, Informatica Powercenter, Snowflake, Database Optimization, Apache Spark, Data Lakes, Pyspark, Data Pipelines, Amazon Redshift
- **Published:** August 1, 2026
- **Apply:** https://www.careerjet.com/jobad/usb399a896b2dc147a9098c54a614fcc8c

## About the Role

ETL, AWS Redshift, SQL, Python
10+ years of Data Engineering / Data Warehouse experience.
Strong hands-on experience with AWS (EMR, S3, Glue Catalog, MWAA/Airflow).
Expertise in PySpark, Python, and SQL.
Experience building and maintaining ETL/ELT pipelines.
Strong data warehousing experience with Teradata, Oracle, Redshift, and relational databases.
Experience with Apache Iceberg, data lakes, and large-scale data processing.
Hands-on experience with Airflow orchestration and workflow automation.
Strong performance tuning, data modeling, and database optimization skills.
Experience working in Agile environments and collaborating with distributed teams.
Nice-to-Have Skills:
DBT development experience.
Experience with Snowflake.
Knowledge of Hadoop ecosystem (Hive, Sqoop, Spark
Informatica PowerCenter experience.
Geospatial or geocoding data integration experience.
Financial services, telecom, or enterprise-scale data platform experience.

## Description

Design and develop scalable cloud-native data pipelines.
Build and optimize batch and distributed data processing solutions.
Manage data lake and warehouse environments.
Ensure data quality, performance, security, and reliability.
Partner with business and analytics teams to deliver reporting and data solutions.
Support data migration, modernization, and platform enhancement initiatives
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Design and develop scalable cloudnative data pipelines. Build and optimize batch and distributed data processing solutions. Manage data lake and warehouse environments.
Ensure data quality, performance, security, and reliability. Partner with business and analytics teams to deliver reporting and data solutions.
Support data migration, modernization, and platform enhancement initiatives
Interview Process (Is face to face required?)
Yes
Any additional information you would like to share about the project specs/ nature of work
Project Code: AVOC Insights Reporting and Analytics 20, Job Description In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below: Develop data preparation tasks, while identifying patterns o…

 + 1 month ago


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