LTIMindtree

AWS Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer on a contract basis in Phoenix, AZ (Hybrid). Key skills include Apache Spark, Java, Python, AWS services, and Snowflake. AWS certifications are preferred. Experience in data engineering and ML/AI pipelines is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 24, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#DevOps #Java #Snowflake #Big Data #Data Quality #Python #Batch #Scala #"ETL (Extract #Transform #Load)" #AWS EMR (Amazon Elastic MapReduce) #DynamoDB #AWS Glue #Data Lake #SQL (Structured Query Language) #Spark (Apache Spark) #AWS S3 (Amazon Simple Storage Service) #Kafka (Apache Kafka) #AWS Lambda #Data Science #Cloud #ML (Machine Learning) #Compliance #Apache Spark #Kubernetes #AI (Artificial Intelligence) #Docker #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Jenkins #Data Engineering #Data Pipeline #S3 (Amazon Simple Storage Service) #Athena
Role description
🔹 Job Details Job Title : AWS Data Engineer Job Location : Phoenix, AZ (Hybrid) Job Type : Contract Client : LTIMindtree 🔹 Role Overview We are seeking a Specialist - Data Engineering with deep expertise in AWS cloud services and big data technologies to lead the development of scalable data pipelines and architectures. Skills Required: Apache Spark Java Python AWS EMR AWS Glue AWS Lambda AWS S3 Scala Snowflake ANSI-SQL AWS Step Functions Python for DATA Skills that are Nice-To-Have but Not Mandatory: AWS Athena, DynamoDB, Lake Formation Docker, Kubernetes Kafka, Flink DevOps tools like Jenkins, AWS CodePipeline Experience with ML/AI pipelines AWS Certifications (Data Analytics Specialty or Solutions Architect Associate) Responsibilities: Design and build ETL/ELT pipelines for batch and streaming data Architect scalable data lakes and warehouses on AWS Collaborate with data scientists and analysts to deliver data models Ensure data quality, governance, and compliance Optimize data retrieval and reporting Mentor junior engineers Troubleshoot pipeline failures and improve systems Support ML/AI feature engineering and inference pipelines