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Weekend Amazon Data Engineer Jobs in Tennessee (NOW HIRING)

AWS Data Engineer

Memphis, TN · On-site

$102K - $122K/yr

AWS Data Engineer Salary: $$Base + Benefits + Bonus + Relocation Location: Memphis, TN - 5 Days ... Working experience with Amazon Well-Architected Framework. * Proficient in programming languages ...

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Data Engineer III

Memphis, TN

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

AWS Data Engineer Lead

Germantown, TN · On-site

$102K - $123K/yr

Senior AWS Data Engineer Location: Onsite - East Memphis -TN (Germantown area) | Open to St. Louis ... Amazon EventBridge * (Additional AWS services as required) Candidate Profile Required Skills ...

Databricks Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 50 ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Sr Databricks Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

HPG Big Data Engineer / Senior-Level

Nashville, TN · On-site

$53.75 - $71.25/hr

Data Engineer / Senior-Level The Data Engineer / Senior-Level will be part of the team in Nashville ... Experience with Microsoft Azure or Amazon Web Services (AWS) * Strong development experience with ...

Engineer, Data II

Chattanooga, TN · On-site

$82K - $103K/yr

Engineer, Data II USX HEADQUARTERS 08:00-17:00 Position open to remote: Yes Grade: ES15 ... Amazon RDS is a plus • Strong SQL skills and experience with data processing frameworks • ...

The Senior Data Engineer serves as a primary development resource for design, build, implementation ... Experience with Microsoft Azure or Amazon Web Services (AWS) * Strong development experience with ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

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Weekend Amazon Data Engineer information

What are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Tennessee? The most popular types of Amazon Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Weekend Amazon Data Engineer jobs? Cities in Tennessee with the most Weekend Amazon Data Engineer job openings:
AWS Data Engineer

$102K - $122K/yr

Other

Posted 4 days ago


Job description

This is Full-Time / Permanent Position You will be directly working with an end client for this position.
The interview process will be initiated as soon as possible.
We re excited to hear back from you.
Job Description:
Role: AWS Data Engineer
Salary: $$Base + Benefits + Bonus + Relocation
Location: Memphis, TN - 5 Days onsite
Job Description: The Sr. Data Engineer is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Sr. Data Engineer works with large volumes of data, ensuring its quality, reliability, speed, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption, and implementing data security and privacy measures. This role is crucial in enabling efficient and effective data-driven decision-making.
Requirements
  • Extensive experience with enterprise data solutions, including but not limited to data warehouse modernization, enterprise data lakes, cloud migration, automation and reducing engineering toil
  • Working experience with Amazon Well-Architected Framework.
  • Proficient in programming languages such as Python and SQL for database querying and manipulation.
  • Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK, and Amazon EMR.
  • Knowledge of database design principles and experience with database management systems.
  • Experience with data storage technologies, such as relational databases (e.g., SQL Server, PostgreSQL) and distributed storage systems (e.g., PySpark).
  • Understanding of Extract, Transform, Load (ETL) processes and experience with ETL tools like AWS Glue and SQL Server Integration Services is essential.
  • Skilled at integrating disparate data sources and ensuring data quality and consistency.
  • Understanding and experience with orchestration tools like Apache Airflow, AWS Glue Workflows, AWS Step Functions, and notification services.
  • Familiarity with IAC, such as Terraform, git, and DevOps pipelines.
  • Strong analytical thinking and problem-solving abilities are essential to effectively identify and resolve data-related issues.
  • Ability to analyze complex data sets, identify patterns, and derive actionable insights.
  • Awareness of data governance practices, data privacy regulations, and security protocols is crucial.
  • Experience implementing data security measures and ensuring compliance with relevant standards is desirable.
  • Passion for mentoring less experienced engineers.

Proficient in the following computer languages
  • Python
  • SQL

AWS technologies to include
  • Glue
  • S3
  • Redshift
  • Lambda
  • Lake Formation
  • DataZone

Responsibilities
  • Build and maintain scalable and reliable data pipelines, ensuring the smooth flow of data from various sources to the desired destinations in the AWS cloud environment.
  • Work closely with stakeholders to understand their data requirements and design data solutions that meet their needs.
  • Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination.
  • Responsible for monitoring and optimizing the performance of data pipelines, troubleshooting any issues that arise, and ensuring data quality and integrity.

Regards,
Piyush Kumar
Resource Manager | Syntricate Technologies Inc.
Email: piyush@syntricatetechnologies.com | Web: www.syntricatetechnologies.com
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