senior data integration developer

2P Perfect Presentation

<div>
 <p>
  The Senior IBM Integration Developer is responsible for designing, developing, and deploying robust integration solutions using IBM App Connect Enterprise (ACE) and App Connect on Cloud. The role involves building message flows, connecting APIs, applications, and data across cloud and on-premises systems, while ensuring performance, scalability, and reliability. Working closely with architects, analysts, and development teams, the developer will translate business requirements into secure and optimized integration solutions. The position also includes monitoring, troubleshooting, documenting technical designs, and staying up to date with IBM integration technologies and best practices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  &bull; Design, develop, and deploy integration solutions using IBM App Connect Enterprise (ACE) or IBM App Connect on Cloud.
 </p>
 <p>
  &bull; Build and manage flows to connect APIs, applications, and data across cloud and on-premise systems.
 </p>
 <p>
  &bull; Develop message flows, mapping, and transformation logic using ESQL, Java, or other supported technologies.
 </p>
 <p>
  &bull; Integrate with various systems including databases, REST/SOAP web services, IBM MQ, SAP, and cloud-based platforms.
 </p>
 <p>
  &bull; Collaborate with architects, analysts, and development teams to gather integration requirements. &bull; Perform unit testing, system testing, and support UAT for integration solutions.
 </p>
 <p>
  &bull; Optimize performance of integration services and ensure high availability and scalability.
 </p>
 <p>
  &bull; Monitor, troubleshoot, and resolve issues in production and non-production environments.
 </p>
 <p>
  &bull; Document technical designs, flow diagrams, and integration configuration settings.
 </p>
 <p>
  &bull; Stay current with IBM integration technologies and recommend best practices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Qualifications:
  </strong>
 </p>
 <p>
  &bull; Bachelor&rsquo;s degree in computer science, Software Engineering, or related discipline.
 </p>
 <p>
  &bull; 5+ years of experience in integration development using IBM App Connect (Enterprise and/or Cloud).
 </p>
 <p>
  &bull; Proficient in Java, ESQL, and message transformation techniques (XML, JSON, XSLT).
 </p>
 <p>
  &bull; Strong experience integrating with RESTful and SOAP web services, databases, IBM MQ, JMS, and cloud services.
 </p>
 <p>
  &bull; Solid understanding of enterprise integration patterns and microservices architecture.
 </p>
 <p>
  &bull; Experience working with API Connect, DataPower, or similar IBM middleware tools is a plus.
 </p>
 <p>
  &bull; Strong problem-solving skills with the ability to debug complex integration issues.
 </p>
 <p>
  &bull; Familiar with DevOps practices, version control (e.g., Git), and CI/CD for integration deployments. &bull; Excellent communication and documentation skills.
 </p>
</div>


Senior IBM Integration Developer

Technuf LLC

<p><b>Who we are</b></p><p>Technuf, LLC is a Maryland based SBA certified 8(a) small business company providing leading-edge and proven technologies, industry vertical domain expertise and highly skilled and motivated professionals to achieve our customers&rsquo; mission critical business needs.</p><p><b>What we&rsquo;re looking for</b></p><p>Technuf is seeking a skilled and experienced Senior Systems Integration Analyst.</p><p><b>Job Description: </b></p><p>The Department of Housing and Community Affairs (DHCA) is advancing Phase IIb of its Housing Portal initiative. This phase focuses on enhancing data integration and streamlining business processes across multiple housing programs to improve service delivery and transparency. The System Analyst will provide the foundation for DHCA&rsquo;s long-term data modernization strategy, enabling unified reporting, cross-program insights, and improved operational efficiency. Their analysis will directly inform future automation, predictive analytics, and data governance initiatives.</p><p>The System Analyst will play a critical role in the successful implementation of Phase IIb by leading the integration of approximately six distinct housing databases and multiple programs into a unified portal (i.e. Licensing, Code Enforcement, Multifamily, Landlord and Tenant, Rent Stabilization, and Common Ownership Communities).</p><p>This person requires a strong understanding of systems integration, business process modeling, and stakeholder engagement, along with hands-on technical skills in system development and data management. DHCA&rsquo;s systems are primarily hosted in SQL Server environments with integrations across SharePoint, Azure, and various internal applications.</p><p>Deliverables include a requirements traceability matrix, backend data architecture documentation, and integration design diagrams that define how DHCA databases will interconnect through the Housing Portal.</p><p>The analyst will ensure that all data integration activities adhere to County IT security policies, data privacy standards, and applicable regulations related to housing data.</p><ul><li>The analyst will develop scripts, utilities, or proof-of-concept connectors to validate backend integration designs.</li></ul><ul><li>Requirements traceability matrix</li></ul><ul><li>Entity-relationship models</li></ul><ul><li>System integration plan</li></ul><ul><li>Gap analysis report between databases</li></ul><ul><li>Technical design document and integration blueprint</li></ul><p><b>Requirements:</b></p><ul><li>Proven experience in systems analysis, preferably in government or housing-related projects.</li></ul><ul><li>Strong knowledge of data integration techniques, including ETL processes and API-based data exchange.</li></ul><ul><li>Proficiency in SQL and experience with relational databases (e.g., SQL Server) .</li></ul><ul><li>Programming experience in C# (.NET Framework/.NET Core) for backend development and system integration.</li></ul><ul><li>Familiarity with RESTful APIs, JSON/XML, and web services.</li></ul><ul><li>Experience with scripting or programming languages such as Python, JavaScript, or PowerShell is a plus.</li></ul><ul><li>Understanding of system development life cycle (SDLC) and Agile methodologies.</li></ul><ul><li>Experience with tools such as Azure DevOps</li></ul><ul><li>Ability to create technical design documents and integration blueprint</li></ul><ul><li>Ability to model business processes and produce ER Diagrams</li></ul><ul><li>Ability to produce a traceability matrix, system integration plans, and gap analysis</li></ul><ul><li>Excellent communication, documentation, and stakeholder engagement skills.</li></ul><ul><li>Strong analytical and problem-solving abilities.</li></ul><p><b>Education:</b></p><ul><li>Bachelor&rsquo;s degree from an accredited college or university.</li></ul><p><b>Interviews:</b></p><p>Please note that both remote and in-person interviews may be required for this opportunity.</p><p><b>Location:</b></p><p>This is an on-site position based in Montgomery County, MD.</p><p>Job Type: Full-time</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

Senior Systems Integration Analyst (Data Integration & Modernization)

Ansi Consult And Services

<p> <strong>Role</strong>: Senior Data Engineer</p> <p> <strong>Number of Vacancies</strong>: 8</p> <p> <strong>Project Location</strong>: Abu Dhabi (UAE)</p> <p> <strong>Candidate Location</strong>: India / Abu Dhabi (UAE)</p> <p> <strong>Contract Duration</strong>: 3+ Months (Extendable based on client needs)</p> <p> <strong>Start Date</strong>: Immediate Joiners Preferred</p> <p> <strong>Experience Required</strong>: 7+ Years</p> <p> <strong>Candidate Preference</strong>: Open for India &amp; UAE (visa sponsorship available for India candidates)</p> <br> <p>Role Overview Senior Data Engineer</p> <p>The Senior Data Engineer will design, build, and operationalize data platform components, working within cross-functional pods. The role requires strong hands-on skills, collaboration with architects and pod leads, and the ability to deliver high-quality solutions in a fast-paced environment.</p> <br> <p> <strong>Key Responsibilities</strong> </p> <ul> <li>Design, develop, and implement data integration pipelines and models.</li> <li>Build and maintain solutions with Microsoft Fabric, Azure Data Factory, Azure Synapse, ADLS, Purview, Erwin Mart, Profisee, Terraform.</li> <li>Develop/optimise data solutions using Python, SQL, and Notebooks.</li> <li>Implement CI/CD pipelines via Azure DevOps.</li> <li>Modernise data infrastructure and deliver scalable solutions.</li> <li>Implement governance, MDM, and metadata management frameworks.</li> <li>Collaborate with POD Leads, architects, and stakeholders to resolve technical challenges.</li> <li>Conduct testing, validation, and performance optimisation.</li> <li>Document solutions and configurations for knowledge transfer.</li> <li>Contribute to support and continuous improvement.</li> </ul> <br> <p> <strong>Required Skills &amp; Experience</strong> </p> <p>7+ years in data engineering/data platform development.</p> <br> <p>Hands-on expertise in:</p> <ul> <li>Python &amp; SQL (data engineering, automation)</li> <li>Azure Data Factory, Azure Synapse, ADLS, Notebooks</li> <li>CI/CD &amp; Azure DevOps</li> <li>Microsoft Fabric</li> <li>Microsoft Purview</li> <li>Profisee (MDM frameworks)</li> <li>Erwin Mart (data modelling, metadata management)</li> <li>Terraform (IaC, automation)</li> </ul> <br> <p> <strong>Operational Skills</strong> </p> <ul> <li>Strong knowledge of governance, metadata, and compliance frameworks.</li> <li>Experience with large-scale data platform initiatives.</li> <li>Excellent debugging, problem-solving, and communication skills.</li> <li>Ability to work in collaborative, client-facing teams under tight timelines.</li> <li>Immediate availability preferred.</li> <li>Kindly share profiles of suitable candidates along with availability and notice period.</li> </ul> <br>

Contract Job - Senior Data Engineer

<div></div><div><div><div><div><ul><div>3 - 5 Years</div>
<div></div><div>1 Opening</div>
 <div>Bangalore</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p>Role Proficiency:</p>
<p>
This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be adept at using ETL tools such as Informatica Glue Databricks and DataProc with coding skills in Python PySpark and SQL. Works independently and demonstrates proficiency in at least one domain related to data with a solid understanding of SCD concepts and data warehousing principles.</p>
<p>
Outcomes:</p>
<div>
<ul><li>Collaborate closely with data analysts data scientists and other stakeholders to ensure data accessibility quality and security across various data sources.rnDesign develop and maintain data pipelines that collect process and transform large volumes of data from various sources.</li></ul>
<ul><li>Implement ETL (Extract Transform Load) processes to facilitate efficient data movement and transformation.</li></ul>
<ul><li>Integrate data from multiple sources including databases APIs cloud services and third-party data providers.</li></ul>
<ul><li>Establish data quality checks and validation procedures to ensure data accuracy completeness and consistency.</li></ul>
<ul><li>Develop and manage data storage solutions including relational databases NoSQL databases and data lakes.</li></ul>
<ul><li>Stay updated on the latest trends and best practices in data engineering cloud technologies and big data tools.</li></ul>
</div>
<p></p><p>Measures of Outcomes:</p>
<div>
<ul><li>Adherence to engineering processes and standards</li></ul>
<ul><li>Adherence to schedule / timelines</li></ul>
<ul><li>Adhere to SLAs where applicable</li></ul>
<ul><li># of defects post delivery</li></ul>
<ul><li># of non-compliance issues</li></ul>
<ul><li>Reduction of reoccurrence of known defects</li></ul>
<ul><li>Quickly turnaround production bugs</li></ul>
<ul><li>Completion of applicable technical/domain certifications</li></ul>
<ul><li>Completion of all mandatory training requirementst</li></ul>
<ul><li>Efficiency improvements in data pipelines (e.g. reduced resource consumption faster run times).</li></ul>
<ul><li>Average time to detect respond to and resolve pipeline failures or data issues.</li></ul>
</div>
<p></p><p>Outputs Expected:</p>
<p>
Code Development:</p>
<div>
<ul><li>Develop data processing code independently<br>
ensuring it meets performance and scalability requirements.</li></ul></div><br>
<p><br>
Documentation:</p>
<div>
<ul><li>Create documentation for personal work and review deliverable documents<br>
including source-target mappings<br>
test cases<br>
and results.</li></ul></div><br>
<p><br>
Configuration:</p>
<div>
<ul><li>Follow configuration processes diligently.</li></ul></div><br>
<p><br>
Testing:</p>
<div>
<ul><li>Create and conduct unit tests for data pipelines and transformations to ensure data quality and correctness.</li></ul>
<ul><li>Validate the accuracy and performance of data processes.</li></ul></div><br>
<p><br>
Domain Relevance:</p>
<div>
<ul><li>Develop features and components with a solid understanding of the business problems being addressed for the client.</li></ul>
<ul><li>Understand data schemas in relation to domain-specific contexts<br>
such as EDI formats.</li></ul></div><br>
<p><br>
Defect Management:</p>
<div>
<ul><li>Raise<br>
fix<br>
and retest defects in accordance with project standards.</li></ul></div><br>
<p><br>
Estimation:</p>
<div>
<ul><li>Estimate time<br>
effort<br>
and resource dependencies for personal work.</li></ul></div><br>
<p><br>
Knowledge Management:</p>
<div>
<ul><li>Consume and contribute to project-related documents<br>
SharePoint<br>
libraries<br>
and client universities.</li></ul></div><br>
<p><br>
Design Understanding:</p>
<div>
<ul><li>Understand design and low-level design (LLD) and link it to requirements and user stories.</li></ul></div><br>
<p><br>
Certifications:</p>
<div>
<ul><li>Obtain relevant technology certifications to enhance skills and knowledge.</li></ul>
</div>
<p></p><p>Skill Examples:</p>
<div>
<ul><li>Proficiency in SQL Python or other programming languages utilized for data manipulation.</li></ul>
<ul><li>Experience with ETL tools such as Apache Airflow Talend Informatica AWS Glue Dataproc and Azure ADF.</li></ul>
<ul><li>Hands-on experience with cloud platforms like AWS Azure or Google Cloud particularly with data-related services (e.g. AWS Glue BigQuery).</li></ul>
<ul><li>Conduct tests on data pipelines and evaluate results against data quality and performance specifications.</li></ul>
<ul><li>Experience in performance tuning data processes.</li></ul>
<ul><li>Proficiency in querying data warehouses.</li></ul>
</div>
<p></p><p>Knowledge Examples:</p>
<p>
Knowledge Examples</p>
<div>
<ul><li>Knowledge of various ETL services provided by cloud providers including Apache PySpark AWS Glue GCP DataProc/DataFlow and Azure ADF/ADLF.</li></ul>
<ul><li>Understanding of data warehousing principles and practices.</li></ul>
<ul><li>Proficiency in SQL for analytics including windowing functions.</li></ul>
<ul><li>Familiarity with data schemas and models.</li></ul>
<ul><li>Understanding of domain-related data and its implications.</li></ul>
</div>
<p></p><p>Additional Comments:</p>
<p></p>
<p>Job Title: Junior Data Engineer Experience: 2&ndash;4 years Employment Type: Full-time ________________________________________ Role Summary We are looking for a Junior Data Engineer who is passionate about building scalable data pipelines and working with modern data technologies. The ideal candidate should have hands-on experience in ETL development, data integration, and cloud-based data solutions&mdash;preferably on AWS. You will work closely with senior data engineers, data architects, and analysts to develop and maintain data pipelines, ensuring data is accurate, reliable, and available for business and analytics needs. This is an excellent opportunity to grow into a data engineering expert in a modern cloud ecosystem. ________________________________________ Key Responsibilities &bull; Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data sources. &bull; Work with senior engineers to implement data lake and data warehouse solutions using AWS services such as S3, Glue, Redshift, and Lambda. &bull; Develop and optimize Spark / Databricks jobs for data transformation and processing. &bull; Write efficient Python or SQL scripts for data cleaning, transformation, and validation. &bull; Collaborate with data architects to implement data models and data quality frameworks. &bull; Participate in code reviews, testing, and deployment processes to maintain code quality and stability. &bull; Troubleshoot and resolve data-related issues in development and production environments. &bull; Document technical processes, data flows, and pipeline logic for maintainability and transparency. &bull; Learn and contribute to continuous improvements in automation, performance, and scalability of data systems. ________________________________________ Technical Skills and Tools Mandatory: &bull; Good understanding of ETL concepts, data warehousing, and data integration techniques. &bull; Hands-on experience with Python for data manipulation and scripting. &bull; Working knowledge of SQL and experience writing optimized queries. &bull; Familiarity with AWS data services like S3, Glue, Redshift, Athena, or equivalent cloud tools (Azure Data Factory, GCP BigQuery). &bull; Basic exposure to Apache Spark or Databricks for distributed data processing. &bull; Version control and collaboration tools: Git / GitHub / Bitbucket. Good-to-Have: &bull; Exposure to Airflow or any job orchestration tool. &bull; Knowledge of data modelling and dimensional design principles. &bull; Understanding of data quality checks, logging, and monitoring. &bull; Familiarity with DevOps / CI-CD pipelines. &bull; Awareness of streaming data concepts (Kafka, Kinesis). ________________________________________ Soft Skills &amp; Attributes &bull; Strong analytical and problem-solving skills with attention to detail. &bull; Willingness to learn and adapt quickly in a fast-paced, data-driven environment. &bull; Good communication and collaboration skills to work effectively within cross-functional teams. &bull; A proactive attitude toward automation, documentation, and best practices. &bull; Curiosity to explore emerging tools and technologies in the data ecosystem. ________________________________________ Education &amp; Experience &bull; Bachelor&rsquo;s degree in Computer Science, Information Technology, or related discipline. &bull; 2&ndash;4 years of hands-on experience in data engineering, ETL development, or data integration. &bull; Prior experience working in a cloud data environment (AWS / Azure / GCP) preferred. ________________________________________ Preferred Qualifications &bull; AWS Certified Data Practitioner or Data Engineer Associate (or equivalent certification on Azure/GCP). &bull; Exposure to modern data stack tools such as dbt, Snowflake, or Delta Lake. &bull; Experience contributing to end-to-end data pipeline projects in production environments.</p></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>ETL,Data Warehousing,AWS</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Associate III - Data Engineering

Pontoon Global Solutions

<p><b>Job Title:</b> Snowflake Specialist (SAP Data Integration)<br/><b>Location:</b> Offshore (Remote)<br/><b>Working Hours:</b> 2:00 PM &ndash; 11:00 PM IST</p><p><b>Summary:</b><br/>Seeking an experienced <b>Snowflake &amp; SAP Data Integration Specialist</b> to design and implement large-scale enterprise data solutions. The role requires deep expertise in SAP data extraction, replication, and Snowflake architecture.</p><p><b>Mandatory Skills &amp; Experience:</b></p><ul><li><b>7&ndash;12 years</b> in data engineering with strong <b>SAP and Snowflake experience.</b></li><li>Proven expertise in <b>SAP data extraction/integration</b> with modern data platforms.</li><li>Hands-on with <b>data replication tools</b> &ndash; preferably <b>SNP Glue</b>, SAP SLT, or Qlik Replicate.</li><li>Strong understanding of <b>SAP ECC/S4 data models</b> (Procurement, Sales, Finance).</li><li>Deep knowledge of <b>Snowflake architecture</b>, performance tuning, and security.</li><li>Experience designing and building <b>end-to-end Snowflake solutions</b>.</li><li>Excellent communication and remote collaboration skills.</li></ul><p><b>Nice to Have:</b></p><ul><li>Exposure to <b>Snowpark</b>, <b>AI/ML integrations</b>, and <b>Cortex</b>.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;1,800,000.00 - &#8377;2,400,000.00 per year</p><p>Application Question(s):</p><ul><li>How do you extract and replicate SAP ECC/S4 data into Snowflake?</li><li>What are your key strategies for optimizing Snowflake performance?</li><li>Describe an end-to-end SAP-to-Snowflake data pipeline you&rsquo;ve built.</li></ul><p>Work Location: Remote</p>

Snowflake Developer (SAP Data Integration)

SD (Middle East) LLC

<div><b>Together we make a difference</b>
<p>
We are a leading provider of innovative, high-performance solutions for airport logistics. Our portfolio includes products and services for baggage and cargo handling, advanced software for the digitalization of logistics processes, and a comprehensive range of maintenance and support services. Our major clients include renowned airports and airlines around the world.</p>
<p>
We are looking for a highly motivated self-starter who is passionate about technology to join our team as a <b>Data Integration Enginee</b>r in <b>Dubai.</b></p>
<b>What are my responsibilities?</b>
<ul><li>Develop code to normalize data from various sources for ingestion and processing in Vanderlande Logistics&rsquo; flagship SaaS application.</li>
<li>Ensure quality assurance for SaaS applications.</li>
<li>Design and enhance technical solutions for both new and existing customers.</li>
<li>Document proposed and implemented solutions, ensuring sound design and architecture.</li>
<li>Provide regular status updates to requestors and key stakeholders.</li>
<li>Ensure technical project documentation is thorough and up to date.</li>
<li>Manage the handover process for the Service and Customer Success teams.</li>
<li>Actively contributes to a collaborative, inclusive, and results-driven team environment.</li>
<li>Communicate effectively with stakeholders and set clear expectations.</li>
<li>Collaborate with a geographically dispersed, diverse team to exceed goals and align with strategic objectives.</li>
<li>Manage a dynamic workload, adjusting priorities and actions in response to evolving business needs and new information.</li>
</ul><b>What do I need to qualify for the role?</b>
<ul><li>Strong analytical, logical thinking, and problem-solving skills.</li>
<li>Passion for delivering high-quality projects and a commitment to excellence.</li>
<li>Educational background in software development, computer science, mathematics, or a related field.</li>
<li>Experience with at least one programming language (e.g., Java or Python).</li>
<li>Knowledge of SQL, networking, and Unix/Linux is a plus.</li>
<li>Proficiency in Microsoft Office Suite and other relevant tools; experience with GitLab is advantageous.</li>
<li>Willingness to learn about airport and baggage handling operations.</li>
<li>Ability to motivate teams and drive timely project completion.</li>
<li>Tech-savvy with excellent written, verbal, and analytical communication skills.</li>
<li>Highly organized with strong attention to detail.</li>
<li>Skilled in both written and oral communication, with strong interpersonal abilities.</li>
<li>Capable of conducting research into project-related issues and technologies.</li>
<li>Experience with Agile and/or Lean management methodologies.</li>
<li>Familiarity with client/server and web-based applications.</li>
<li>Fluency in English is required; basic knowledge of German is an advantage.</li>
<li>Resilient and comfortable with flexible working hours.</li>
<li>Basic understanding of APIs and data integration tasks.</li>
<li>Experience in the aviation industry is a plus.</li></ul></div>

Data Integration Engineer

Cotiviti

<div>Overview:
<p>
Edifecs/Cotiviti is seeking a Data Integration Engineer to join our innovative software teams. In this position, you will be responsible for onboarding customers to the Risk Adjustment workflow applications. As part of this role, you will work with platform engineering, product, and implementation teams. The ideal candidate has experience in building scalable data pipelines that enable workflow applications, reporting, and customer confidence. You must have strong, hands-on technical expertise in big data technologies and communication abilities with non-tech and technical audiences.
</p>Responsibilities:
<ul><li>Design and develop data flows and extraction
</li><li>Integrate client&rsquo;s data into the Edifecs/Cotiviti/Cotiviti Risk Adjustment
</li><li>Work with relational databases and Python
</li><li>Implement open-source standards for data
</li><li>Develop a new framework for data ELT jobs to scale implementation, monitoring, and
</li><li>Build and scale automation that orchestrate complex
</li><li>Ability to support existing processes while leading efforts to redefine the data
</li></ul>Qualifications:
<ul><li>3+ years of hands-on experience with relational database systems (PostgreSQL).</li><li>
2+ years of hands-on experience developing ELT jobs/data pipelines within various technologies such as: Argo Workflows, cron, Airflow, dbt, great
</li><li>2+ years of experience in Linux system.</li><li>
Proficiency in shell scripting and automation</li><li>
Experience building reusable data methods and working with version control systems (git).</li><li>
3+ years of hands-on experience with programming languages such as
</li><li>Plus - Experience with container deployment platforms and tools, such as Kubernetes, Docker, Helm, and Terraform.</li><li>
Plus - AWS Cloud experience: EC2, RDS, SQS, IAM,</li></ul></div><p></p>

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