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Senior Data Engineer AWS

LiveMindz

Fort Mill, South Carolina • Today

Easy Apply

Contract

Depends on Experience

Senior Data Engineer (AWS, Azure, Google Cloud Platform)

CapTech Ventures

Charlotte, North Carolina • Today

Full-time

Senior Technology and Data Engineer - AWS/Python/Wiz - Charlotte, Nc

Motion Recruitment Partners, LLC

Charlotte, North Carolina • Today

Easy Apply

Contract

$90 - $100

Senior Data Software Engineer/ AWS, Databricks, PySpark

EPAM Systems

Remote • Today

Full-time

Sr. Systems Engineer (AWS Data Engineer)

SAIC

Remote • Today

Full-time

USD 120,001.00 - 160,000.00 per year

Senior Data Engineer

MHK TECH INC

Remote • 15d ago

Easy Apply

Contract

Depends on Experience

Senior Data Engineer

NTT DATA, Inc.

Remote or Plano, Texas • Today

Full-time

USD 62.47 - 75.55 per hour

Senior Data Engineer

Atlassian Inc.

Remote • Today

Full-time

USD 167,400.00 - 218,550.00 per year

Required Sr AWS + Databricks Data Engineer – REMOTE – Only 18+ Years Exp Apply - REMOTE

Synersys Technologies

Remote • Yesterday

Easy Apply

Contract

100

Senior AWS Application Engineer

Global It Solutions Usi Inc

Remote • Yesterday

Easy Apply

Full-time, Third Party

Depends on Experience

Senior Data Engineer

Novanta Inc

Remote • Today

Full-time

USD 101,100.00 - 161,800.00 per year

Senior AI Engineer with AWS

EPAM Systems

Remote • Today

Full-time

Sr. AWS Developer

NeuraFlash, Part of Accenture

Remote • Today

Full-time

Senior Data Engineer

Gemini

Remote or New York, New York • Today

Full-time

USD 126,000.00 - 180,000.00 per year

Senior Data Engineer

Rad AI

Remote or San Francisco, California • Today

Full-time

USD 145,000.00 - 200,000.00 per year

Senior Data Engineer

Machinify

Remote • Today

Full-time

USD 180,000.00 - 220,000.00 per year

Senior Data Engineer

Samsara

Remote • Today

Full-time

USD 118,107.50 - 178,650.00 per year

Job Details

Skills

aws
data modeling

Summary

Brings 12 years of data engineering experience spanning production ETL/ELT pipelines, Big Data processing, cloud migrations, data lakes, and analytics platforms.
Builds and supports AWS Glue ETL pipelines using PySpark/Python, including ingestion, transformations, schema validation, data-quality checks, and curated data layers.
Develops event-driven and near-real-time architectures using AWS Lambda, Eventbridge, Step Functions, Kafka/MSK, and SNS.
Has hands-on experience with Glue Catalog and Glue Crawlers for metadata discovery, schema registration, governance, and downstream querying through Athena.
Uses CloudWatch logs, metrics, monitoring, and alerts to troubleshoot Glue, Lambda, and Step Functions and maintain pipeline reliability and SLA compliance.
Has strong Python, PySpark, SQL, PostgreSQL, Redshift, Hive, Snowflake, and Databricks experience across large structured and semi-structured datasets.
Implements CDC, incremental processing, schema enforcement, error handling, retry logic, data-quality validation, and scalable batch/streaming pipelines using PySpark, Delta Lake, and Delta Live Tables.
Builds orchestration solutions using Step Functions, Airflow, Lambda, dbt, Control-M, and AWS services, managing workflow dependencies, scheduling, retries, and cross-service execution.
Automates infrastructure with Terraform and Cloud Formation and supports CI/CD through Git, Jenkins, AWS Code Pipeline, and Docker.
Has extensive cloud-migration experience, including moving large on-premises Hadoop/Teradata workloads to AWS and designing scalable S3-based data lake architectures.
Brings hands-on performance tuning experience across Spark/PySpark jobs, SQL queries, Hive workloads, Redshift clusters, partitioning, and large-scale data pipelines.
Works effectively with business, BI, analytics, and downstream data consumers and has supported Tableau, Snowflake, Redshift, and Athena-based analytics environments.

CERTIFICATIONS

AWS Certified Developer – Associate

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90915265
Position Id: 9122010
Posted 19 hours ago

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Swathi Nelabhatla

Recruiter @ LiveMindz

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Job Details

Skills

aws
data modeling

Summary

Brings 12 years of data engineering experience spanning production ETL/ELT pipelines, Big Data processing, cloud migrations, data lakes, and analytics platforms.
Builds and supports AWS Glue ETL pipelines using PySpark/Python, including ingestion, transformations, schema validation, data-quality checks, and curated data layers.
Develops event-driven and near-real-time architectures using AWS Lambda, Eventbridge, Step Functions, Kafka/MSK, and SNS.
Has hands-on experience with Glue Catalog and Glue Crawlers for metadata discovery, schema registration, governance, and downstream querying through Athena.
Uses CloudWatch logs, metrics, monitoring, and alerts to troubleshoot Glue, Lambda, and Step Functions and maintain pipeline reliability and SLA compliance.
Has strong Python, PySpark, SQL, PostgreSQL, Redshift, Hive, Snowflake, and Databricks experience across large structured and semi-structured datasets.
Implements CDC, incremental processing, schema enforcement, error handling, retry logic, data-quality validation, and scalable batch/streaming pipelines using PySpark, Delta Lake, and Delta Live Tables.
Builds orchestration solutions using Step Functions, Airflow, Lambda, dbt, Control-M, and AWS services, managing workflow dependencies, scheduling, retries, and cross-service execution.
Automates infrastructure with Terraform and Cloud Formation and supports CI/CD through Git, Jenkins, AWS Code Pipeline, and Docker.
Has extensive cloud-migration experience, including moving large on-premises Hadoop/Teradata workloads to AWS and designing scalable S3-based data lake architectures.
Brings hands-on performance tuning experience across Spark/PySpark jobs, SQL queries, Hive workloads, Redshift clusters, partitioning, and large-scale data pipelines.
Works effectively with business, BI, analytics, and downstream data consumers and has supported Tableau, Snowflake, Redshift, and Athena-based analytics environments.

CERTIFICATIONS