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# Specialist - Data Engineering

- **Company:** LTM Inc
- **Location:** Tampa, FL, United States
- **Salary:** $90,032.0 - $134,200.0
- **Contract:** Internship / Graduate position
- **Skills:** Agile Methodology, Airflow, Data Analysis, Big Data, Information Engineering, Extract Transform Load (ETL), Data Mining, Relational Databases, Software Debugging, DevOps, Apache Hadoop, Hadoop Distributed File System, Apache Hive, Operational Databases, Cloud Services, SQL Databases, Workflow Management Systems, Data Processing, Scripting, Apache Spark, Pyspark, Data Pipelines, Databricks
- **Published:** June 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a4405fe7120dba5a

## About the Role

Do you have experience in Technical writing within technology?, * Follow enterprise standards for coding deployment and change management 712 years of experience in Big Data Data Engineering roles

 * Strong handson experience with PySpark Apache Spark
 * Solid understanding of SQL and relational database concepts
 * Experience working in LinuxUNIX environments
 * Understanding of ETL concepts and largescale data processing
 * Strong analytical and debugging skills
 * Experience supporting production data pipelines Exposure to Azure Databricks ADF Synapse or similar cloud data platforms
 * Experience with Hadoop ecosystem Hive HDFS
 * Knowledge of orchestration tools eg Airflow
 * Python scripting beyond Spark use cases
 * Good communication and documentation skills
 * Ability to adapt quickly in dynamic project environments

## Description

* Familiarity with Agile DevOps delivery practices
 * Domain exposure eg Banking BFSI Analytics is an advantage Strong problemsolving and ownership mindset
 * Ability to work collaboratively in crossfunctional teams Design develop and maintain data pipelines using PySpark for largescale data processing
 * Perform data transformations aggregations and validations using Spark SQL DataFrames
 * Write and optimize SQL queries for data extraction reconciliation and reporting
 * Perform data quality checks profiling and consistency validations
 * Support existing data pipelines by troubleshooting failures and performing root cause analysis
 * Work closely with data engineers analysts QA and DevOps teams in Agile delivery models
 * Optimize performance of Spark jobs for efficiency and scalability
 * Maintain technical documentation workflows and runbooks


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