aws data engineer

Fractal Analytics

<div><div>It's fun to work in a company where people truly BELIEVE in what they are doing!</div><div></div><div><i>
We're committed to bringing passion and customer focus to the business.</i></div><div></div><div>
AWS Senior Data Engineer</div><div>
Onsite Rhode Island/ Remote</div><div></div><div>
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work&reg; Institute and recognized as a &lsquo;Cool Vendor&rsquo; and a &lsquo;Vendor to Watch&rsquo; by Gartner.</div><div></div><div>
Please visit <div>Fractal | Intelligence for Imagination</div> for more information about Fractal</div><div></div><div>
Location: Rhode Island<br>
<br>
Note: This position is not eligible for Immigration Sponsorship <i>at this time.</i></div><div></div><div>
Role Overview</div><div>
We are seeking an experienced AWS Data Engineer to design, build, and optimize data pipelines and solutions on AWS. The ideal candidate will have strong expertise in AWS services, data engineering best practices, and modern ETL frameworks to enable scalable and reliable data processing for advanced analytics and business intelligence.</div><div></div><div>
Responsibilities</div><ul><li><div>
Design, develop, and maintain data pipelines and ETL processes using AWS services (Glue, EMR, Lambda, Redshift, S3).</div></li><li><div>
Implement data ingestion frameworks for structured and unstructured data from multiple sources.</div></li><li><div>
Optimize data workflows for performance, scalability, and cost efficiency.</div></li><li><div>
Collaborate with data scientists, analysts, and business teams to deliver high-quality datasets for analytics and reporting.</div></li><li><div>
Ensure data security, compliance, and governance across all AWS environments.</div></li><li><div>
Monitor and troubleshoot data pipelines, ensuring high availability and reliability.</div></li><li><div>
Work with CI/CD pipelines for automated deployment and version control.</div></li><li><div>
Writing Terraform scripts but they need to be hands on</div></li></ul><div></div><div>
Qualifications</div><ul><li><div>
3&ndash;6 years of experience in Data Engineering with strong AWS expertise.</div></li><li><div>
Hands-on experience with AWS services: Glue, Redshift, EMR, Lambda, S3, Athena.</div></li><li><div>
Strong programming skills in Python and experience with PySpark/Spark.</div></li><li><div>
Proficiency in SQL and data modeling for analytical workloads.</div></li><li><div>
Experience with ETL frameworks, data lake architecture, and big data processing.</div></li><li><div>
Familiarity with workflow orchestration tools (Airflow, Step Functions).</div></li><li><div>
Knowledge of data security is the best practice and AWS IAM policies.</div></li></ul><div></div><div>
Pay:</div><div>
The wage range for this role considers the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Up to $130,000 In addition, you may be eligible for a discretionary bonus for the current performance period.</div><div></div><div>
Benefits:</div><div>
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plan in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a &ldquo;free time&rdquo; PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.</div><div></div><div><i>
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</i></div><div></div><div>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</div><div></div><div><div>
Not the right fit? Let us know you're interested in a future opportunity by clicking <i>Introduce Yourself</i> in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</div></div></div>

AWS Data Engineer

<div></div><div><div><div><div>U.S. - The best version of me
</div></div></div><div>By playing this video you consent to Google/YouTube processing your data and using cookies Learn more.</div>
<p></p><div><h2 class="jobSectionHeader"><b>Position Description:</b></h2>
<p>CGI has an immediate need for a AWS Data Engineer to join our team. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest customers. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies.<br>
We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!.
<br>
<br>
This role is located at a client site in Reston, VA. A hybrid working model is acceptable.</p>
</div><div><h2 class="jobSectionHeader"><b>Your future duties and responsibilities:</b></h2>
<p>We are seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines in a cloud-native environment. This role focuses on developing robust ETL/ELT processes, integrating data from multiple sources, and ensuring data reliability and quality across platforms.<br>
The ideal candidate will have strong hands-on experience with AWS data services and distributed data processing frameworks, along with the ability to collaborate within Agile teams. This position also involves monitoring production systems, supporting releases, and contributing to continuous improvement of data workflows.</p>
</div><div><h2 class="jobSectionHeader"><b>Required qualifications to be successful in this role:</b></h2>
<p>. Strong experience with AWS data services such as Glue (PySpark), Lambda, Step Functions, S3, DynamoDB, Redshift, RDS, CloudWatch, and IAM<br>
. Hands-on experience building and maintaining ETL/ELT pipelines in a cloud environment<br>
. Solid Python skills, particularly for data transformation, automation, and validation tasks<br>
. Familiarity with distributed processing frameworks like Spark or PySpark<br>
. Experience integrating data from APIs, AWS services, and external enterprise systems<br>
. Working knowledge of monitoring and logging tools such as CloudWatch or Splunk<br>
. Exposure to working with commercial off-the-shelf (COTS) or enterprise data platforms<br>
. Understanding of Agile delivery methodologies and iterative development practices<br>
. Strong communication and documentation skills, with the ability to collaborate across teams<br>
. Willingness to support production deployments and participate in on-call rotations when needed<br>
. Relevant certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are a plus<br>
<br>
Education:<br>
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline<br>
<br>
Other Information:<br>
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $108,300.00 - $137,100.00.<br>
CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well-being programs</p>
</div><div><h2 class="jobSectionHeader"><b>Skills:</b></h2>
<ul><li>Data Analysis</li>
<li>ETL</li>
<li>Python</li>
<li>Splunk</li>
</ul></div><div><h2 class="jobSectionHeader"><b>What you can expect from us:</b></h2>
<p><b>Together, as owners, lets turn meaningful insights into action.</b><br>
<br>
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because<br>
<br>
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.<br>
<br>
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.<br>
<br>
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
<br>
<br>
Come join our teamone of the largest IT and business consulting services firms in the world.<br>
<br>
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.<br>
<br>
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. <b>Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.</b><br>
<br>
We make it easy to translate military experience and skills! to be directed to our site that is dedicated to veterans and transitioning service members.<br>
<br>
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.<br>
<br>
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.</p></div></div>

Fannie Mae

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
<br><br>
Job Description
<br><br>
We are seeking an experienced Lead AWS Data Engineer to lead the design, development, and optimization of large-scale AWS-based Data Lake and data pipeline solutions. The ideal candidate will have deep expertise in AWS data services (EMR, Glue, S3, Athena, Lambda) and PySpark-based data processing, along with strong experience in data modeling, performance optimization, and data pipeline orchestration.
<br><br>
This role requires strong technical leadership and stakeholder collaboration, with the ability to analyze complex datasets, perform data mapping across systems, and translate business requirements into scalable data engineering solutions.
<br><br>
THE IMPACT YOU WILL MAKE
<br><br>
The Lead AWS Data Engineer role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
<br><br>
Data Engineering & Architecture
<br><br>
Design, build, and maintain scalable AWS Data Lake architectures using services such as S3, EMR, Glue, Athena, and Lambda.
<br>Develop and optimize data pipelines and ETL/ELT workflows using PySpark, AWS Glue, and EMR.
<br>Implement high-performance distributed data processing solutions for large-scale datasets.
<br>Develop frameworks for data ingestion, transformation, validation, and publishing within the data lake ecosystem.
<br><br>
Performance Optimization
<br><br>
Diagnose and resolve EMR cluster performance issues including memory management, Spark job optimization, partitioning strategies, and resource allocation.
<br>Optimize Spark/PySpark workloads for cost and performance.
<br>Implement monitoring and performance tuning strategies for data processing pipelines.
<br><br>
Data Analysis & Integration
<br><br>
Analyze complex datasets across multiple systems to support data mapping, transformation, and integration.
<br>Define and implement data quality checks and validation frameworks.
<br>Collaborate with data architects and analysts to develop efficient data models and data flows.
<br><br>
Leadership & Collaboration
<br><br>
Act as a technical lead for data engineering initiatives and mentor junior engineers.
<br>Work closely with business stakeholders, product owners, and data consumers to gather requirements and translate them into technical solutions.
<br>Provide guidance on data architecture best practices and standards.
<br><br>
Workflow & Automation
<br><br>
Build and maintain workflow orchestration solutions using tools such as Airflow, Step Functions, or Glue Workflows.
<br>Automate deployment and management of data pipelines using CI/CD practices and infrastructure-as-code.
<br><br>
<b>Minimum Required Experiences:</b><br>
4+ years of experience in Data Engineering / Big Data development.
<br>4+ years of hands-on experience with AWS data services.
<br>Strong experience with AWS EMR, AWS Glue, S3 Data Lakes, Athena / Redshift / Lakehouse architectures.
<br>Expertise in PySpark and Spark-based distributed processing.
<br>Basic understanding or exposure to Generative AI concepts and AWS Bedrock services.
<br>Strong experience building large-scale data pipelines.
<br>Proven experience with EMR performance tuning and debugging.
<br>Experience with data mapping and integration across heterogeneous datasets.
<br>Strong SQL and data modeling skills.
<br>Excellent communication and stakeholder management skills.
<br><br>
<b>Desired Experiences:</b><br>
Bachelor degree or equivalent
<br>10+ years of experience in Data Engineering / Big Data development.
<br>5+ years of hands-on experience with AWS data services.
<br>Hands-on experience with AWS Bedrock, including working with foundation models and building GenAI-powered data solutions.
<br>Experience integrating AI/ML or Generative AI capabilities into data pipelines or analytics platforms.
<br>AWS Certification (e.g., AWS Certified Data Analytics, Machine Learning Specialty, or AI/ML-related certifications) preferred.
<br>Experience with AWS Step Functions.
<br>Experience with Data Lake governance tools (Lake Formation, Glue Catalog).
<br>Knowledge of data security and compliance frameworks.
<br>Experience implementing CI/CD pipelines for data platforms.
<br><br>
<b>Target Pay Range:</b> $141,000.00 - $184,000.00 a year
<br><br>
<b>Internal Job Title:</b> Information Security Technology - Data Engineering - Lead Associate
<br><br>
#LI-JM1
<br><br>
Qualifications
<br><br>
<b>Education:</b><br>
Bachelor's Level Degree (Required)
<br><br>
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
<br><br>
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
<br><br>
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
<br><br>
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here .
<br><br>
<b>Requisition compensation:</b><br>
141000
<br>to
<br>184000

Lead AWS Data Engineer

Railroad19

<div><div><div><b>AWS DevOps </b><b>Data Engineer</b></div><br>
<div></div>
<div>
We&rsquo;re looking for an experienced AWS DevOps Data Engineer to support a large enterprise media organization. This full-time role blends hands‑on engineering with DevOps direction, AWS best‑practice guidance, and cross‑team enablement.</div>
</div>
<h3 class="jobSectionHeader"><b>About Railroad19, Inc</b></h3><ul>
<li>At Railroad19, Inc, we develop customized software solutions and provide software development services. We&rsquo;re a specialized team of developers and architects. As such, we only bring an &ldquo;A&rdquo; team to the table, through hard work and a desire to lead the industry &mdash; this is our company culture &mdash; this is what sets Railroad19 apart.</li>
<li>As a Railroad19 employee, you will be part of a company that values your work and gives you the tools you need to succeed. Our headquarters is in Saratoga Springs, New York, but this position is 100% remote. Railroad19 provides competitive compensation and excellent benefits~ including Medical/Dental/Vision/Pet Insurance, Paid Time Off, and 401 (k).</li>
<li><b>NO 1099, C2C, Corp-to-Corp, only full-time employment.</b></li>
<li><b>NO Agencies</b></li>
</ul><h3 class="jobSectionHeader"><b>Core Responsibilities:</b></h3><div>
<ul><li>Build and support AWS infrastructure (EMR, ECS, Lambda, IAM)</li>
<li>Create POCs and reference implementations to guide teams on AWS best practices</li>
<li>Own and manage GitLab (runners, permissions, pipelines) and support the transition to GitHub Actions</li>
<li>Coordinate and enable multiple engineering teams to adopt consistent DevOps workflows</li>
<li>Develop Python‑based ETL/automation scripts</li>
<li>Build and maintain Airflow DAGs for data workflows</li>
<li>Improve CI/CD pipelines, automation, and platform reliability</li>
<li>Collaborate across engineering, data, product, and security teams in a large enterprise environment</li>
</ul></div><h3 class="jobSectionHeader"><b>Skills &amp; Experience</b></h3><div>
<ul><li>4+ years in cloud engineering, DevOps, or data engineering</li>
<li>Strong AWS experience (EMR, ECS, Lambda, IAM)</li>
<li>Python development skills</li>
<li>Airflow production experience</li>
<li>Hands‑on GitLab experience; GitHub Actions a plus</li>
<li>Ability to guide teams, influence standards, and operate in a complex enterprise setting</li>
</ul>
<p><b>Nice to Have/Preferred</b></p>
<ul>
<li>Media/entertainment industry experience</li>
<li>Terraform or CloudFormation</li>
<li>Spark or distributed data processing</li>
<li>Strong communication and documentation skills</li>
<li>AWS Certifications</li>
</ul></div><div>This is a full-time employment, base annual salary, and bonus eligibility at the end of the fiscal year. Full Benefits- medical, dental, vision, pet insurance, 401k, and competitive paid time off.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

AWS DevOps Data Engineer

Tata Consultancy Services

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Must Have Technical/Functional Skills
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and maintain PostgreSQL databases and data pipelines on AWS to support microservice-based applications.
  </li>
  <li>
   Design and develop scalable, efficient data models aligned with the microservice-based System of Record (SOR) architecture.
  </li>
  <li>
   Collaborate with Java microservice developers to integrate database solutions efficiently with application services.
  </li>
  <li>
   Build and optimize ETL/ELT workflows for data ingestion, transformation, and storage using AWS services and custom scripts.
  </li>
  <li>
   Tune PostgreSQL databases for performance, scalability, and reliability in a microservices environment.
  </li>
  <li>
   Develop and maintain database schemas, stored procedures, and complex SQL queries aligned with application needs.
  </li>
  <li>
   Automate database provisioning, schema migrations, backups, and monitoring using AWS tools and infrastructure as code (CloudFormation, Terraform).
  </li>
  <li>
   Implement data modeling best practices to support analytics, reporting, and application functionality.
  </li>
  <li>
   Ensure data security, integrity, and compliance with organizational policies and cloud security standards.
  </li>
  <li>
   Troubleshoot and resolve database and data pipeline issues in development, staging, and production environments.
  </li>
  <li>
   Participate in designing and implementing disaster recovery and high availability strategies for critical data systems.
  </li>
  <li>
   Lead or support Salesforce to PostgreSQL (Aurora PostgreSQL) data migration projects, ensuring data accuracy and integrity.
  </li>
  <li>
   Stay current with PostgreSQL, AWS data services, Java microservices frameworks, and industry best practices.
  </li>
  <li>
   Experience with Salesforce data structures and migration tools (e.g., Salesforce Data Loader, APIs).
  </li>
  <li>
   AWS Certified Data Analytics &ndash; Specialty, AWS Certified Database &ndash; Specialty, or AWS Certified Developer &ndash; Associate.
  </li>
  <li>
   Experience with containerization and orchestration tools such as Docker and Kubernetes.
  </li>
  <li>
   Familiarity with streaming data platforms like Kafka or AWS Kinesis.
  </li>
  <li>
   Knowledge of CI/CD pipelines and DevOps practices.
  </li>
  <li>
   Experience with monitoring and logging tools such as CloudWatch, Prometheus, or Grafana.
   <br/>
   <br/>
  </li>
 </ul>
 Roles &amp; responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
  </li>
  <li>
   Proven experience as a Data Engineer, Database Engineer, or Backend Developer with PostgreSQL expertise.
  </li>
  <li>
   Strong proficiency in PostgreSQL database design, query optimization, and performance tuning.
  </li>
  <li>
   Hands-on experience with AWS services such as Amazon RDS (PostgreSQL), Aurora PostgreSQL, S3, Lambda, Glue, and Redshift.
  </li>
  <li>
   Solid ex perience in Java microservice development using frameworks like Spring Boot or similar.
  </li>
  <li>
   Proficiency in SQL and experience writing complex queries, stored procedures, and functions.
  </li>
  <li>
   Experience building and maintaining ETL/ELT pipelines using Python, Airflow, AWS Glue, or similar tools.
  </li>
  <li>
   Familiarity with infrastructure as code tools like CloudFormation or Terraform for automation.
  </li>
  <li>
   Strong scripting skills (Python, Bash) for automation and data processing.
  </li>
  <li>
   Understanding of cloud security best practices and data governance.
  </li>
  <li>
   Excellent problem-solving skills and ability to work collaboratively in agile, cross-functional teams.
   <br/>
   <br/>
  </li>
 </ul>
 Salary Range: $130,000 to $150,000 per year
 <br/>
 <br/>
 <strong>
  Qualifications:
 </strong>
 BACHELOR OF COMPUTER SCIENCE
</div>


Data Engineer

Derex Technologies inc

<div><b>Company Description</b><p><br>
Derex Technologies Inc specializes in providing IT consulting, staffing solutions and software services. Globally headquartered in Harrison New Jersey since 1996 Derex delivers the highest quality technology professionals and an array of customized IT talent solutions designed to improve productivity and drive results to global clients throughout North America.</p><p>
With over two decades of unparalleled experience, Derex provides supports to its clientele, across such industries as Systems Integration, Banking and Finance, Telecommunications, Pharmaceutical and Life Sciences, Energy, Healthcare, Technology, Transportation, and local and federal Government agencies.</p><b><br>
Job Description</b><p><b><br>
Role: Database Administrator / Data Engineer &ndash; AWS Migration</b></p><p><b>
US- Richmond/VA</b></p><p><b>
Interview : In Person Interview</b></p><p></p><p><b><br>
ABOUT THE ROLE</b></p><p>
We are seeking a Database Administrator / Data Engineer with strong experience in migrating on-premises databases to AWS. The candidate will support data platform modernization by assisting with database migration, Python-based data processing, and building AWS data pipelines supporting applications using Amazon RDS and DynamoDB.</p><p>
Responsible for supporting SQL Server/Cloud BAU operations. supports production stability and performance monitoring by building operational metrics and dashboards for database performance. Develop data quality and performance dashboards to monitor system efficiency and ensure reliable data for reporting and analytics.</p><p>
The role requires hands-on experience in database migration, data modeling, and AWS data services.</p><p><b>
Must Have Skills (Screening Required</b>)</p><p>
 1. On-Prem SQL server to AWS and snowflake source Data Migration experience</p><ul><li>Experience migration/archiving databases from on-premises environments to AWS</li><li>Experience with AWS Database Migration Service(DMS) or similar tools preferred</li></ul><p>
 2. AWS Database Technologies</p><ul><li>Strong experience with:</li><li>Amazon RDS</li><li>DynamoDB</li></ul><p>
 3. Python for Data Processing</p><ul><li>Experience developing Python scripts for data creation, transformation, and data loads</li></ul><p>
 4. Data Pipeline Development</p><ul><li>Experience building AWS-based data pipelines</li><li>Familiarity with services such as:</li><li>S3, Glue, Lambda</li></ul><p>
 5. Data Modeling</p><ul><li>Experience designing logical and physical data models</li><li>Ability to support application teams with schema design</li></ul><p><b>
Preferred Skills</b></p><ul><li>Experience with AWS Schema Conversion Tool (SCT)and data migration service (DMS)</li><li>Experience working with large datasets and ETL pipelines</li><li>Knowledge of data lake architecture</li><li>Experience with PostgreSQL, SQL Server, Dynamo Db</li><li>Experience supporting application data environments</li></ul><p><b>
Experience Required</b></p><ul><li>5+ years in Database Administration, Data Engineering, or similar role</li><li>3+ years of AWS and Snowflake experience</li></ul><p><b>
Responsibilities</b></p><ul><li>Support migration of on-prem databases to AWS</li><li>Develop Python scripts for data generation and bulk loads</li><li>Build and maintain AWS-based data pipelines</li><li>Design and support data models</li><li>Support application teams using RDS and DynamoDB</li><li>Assist with data validation, migration testing, and performance tuning</li></ul><p></p><p><b><br>
Regards,</b></p><p></p><p><b><br>
Manoj</b></p><p><b>
Derex Technologies INC</b></p><p><b>
Contact : </b><b>973-834-5005 </b><b>Ext 206</b></p><b><br>
Additional Information</b><p><br>
All your information will be kept confidential according to EEO guidelines.</p></div>

Database Administrator / Data Engineer – AWS Migration

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