data scientist

software engineer

business analyst

senior software engineer

data analyst

data engineer

INNONEXIS TECHNOLOGY PRIVATE LIMITED

<p># We&rsquo;re Hiring: Freelance Data Engineer</p><p>We are looking for a talented Freelance Data Engineer to help us design, build, and optimize scalable data pipelines and platforms.<br/># Key Responsibilities:</p><p>Design, develop, and maintain ETL pipelines and workflows</p><p>Work with structured and unstructured data across multiple sources</p><p>Implement and optimize data solutions on AWS (Glue, Lambda, EMR, S3, EC2, ECR, Batch)</p><p>Integrate and manage data in Snowflake, MySQL, Salesforce</p><p>Collaborate with data scientists, analysts, and business teams to deliver data-driven solutions</p><p>Ensure high performance, reliability, and security in data workflows</p><p>Work on CI/CD pipelines and containerization with Docker &amp; GitHub</p><p># Skills &amp; Tools:</p><p># AWS (Glue, Lambda, EMR, S3, EC2, ECR, Batch)<br/># Snowflake, MySQL, Salesforce<br/># Python, PySpark, SQL<br/># Apache Airflow, Kafka, ETL, CI/CD. # GitHub, Docker</p><p># What We&rsquo;re Looking For:</p><p>3+ years of experience as a Data Engineer (or similar role)</p><p>Strong expertise in building data pipelines and working with big data tools</p><p>Hands-on experience with AWS cloud services and data warehouses</p><p>Proficiency in Python, SQL, PySpark</p><p>Available to work on a freelance/contract basis</p><p>Excellent problem-solving and collaboration skills</p><p># Location: Remote (Freelance)<br/># Engagement: Contract / Freelance</p><p>If you&rsquo;re passionate about working with data, cloud, and modern data engineering tools, we&rsquo;d love to hear from you!</p><p># Apply now: hr@innonexis.com</p><p>NOTE -: Salary negotiable according to&#8203; interview.</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;40,000.00 - &#8377;50,000.00 per month</p><p>Work Location: Remote</p>

Data engineer

Ecolab

<div><h3 class="jobSectionHeader"><b>Job Title:</b><b> Data Engineer &ndash; Microsoft Fabric CoE</b></h3><h3 class="jobSectionHeader"><b>
Experience Required:</b><b> 3&ndash;5 Years</b></h3><h3 class="jobSectionHeader"><b>
Education:</b><b> Bachelor&rsquo;s Degree in Computer Science, Information Technology, or a related engineering field</b></h3><h3 class="jobSectionHeader"><b>
Certification:</b><b> Microsoft Certified Data Engineer Associate or Fabric Certified Associate</b></h3><h3 class="jobSectionHeader"><b>
Job Summary:</b></h3><p>
We are looking for a highly motivated and technically proficient Data Engineer to join our data platform team. The ideal candidate will have 3&ndash;5 years of hands-on experience in building scalable data solutions using Microsoft Fabric and related technologies. This role involves designing and implementing data pipelines, integrating diverse data sources, and enabling advanced analytics across the enterprise.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities:</b></h3><ul><li>
Develop and maintain robust data pipelines using <b>Azure Data Factory</b> and <b>Microsoft Fabric</b>.</li><li>
Build and optimize <b>Dataflows</b>, <b>Lakehouses</b>, and <b>Notebooks</b> within the Fabric ecosystem.</li><li>
Write efficient <b>SQL</b> queries and stored procedures for data transformation and analysis.</li><li>
Design and publish <b>Power BI</b> dashboards and reports using <b>DAX</b> for business intelligence.</li><li>
Integrate external data sources including <b>Snowflake</b> into Fabric-based solutions.</li><li>
Utilize <b>Fabric REST APIs</b> for automation, orchestration, and advanced data operations.</li><li>
Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders.</li><li>
Ensure data quality, governance, and security across all data assets.</li><li>
Document technical solutions and maintain version control using Git or similar tools.</li></ul><h3 class="jobSectionHeader"><b>
Required Skills &amp; Qualifications:</b></h3><ul><li>
3&ndash;5 years of experience in data engineering or related roles.</li><li>
Strong proficiency in:<ul><li><b>
Microsoft Fabric</b></li><li><b>
SQL</b></li><li><b>
Power BI</b></li><li><b>
Snowflake</b></li><li><b>
Python</b></li><li><b>
Azure Data Factory Pipelines</b></li><li><b>
DAX</b></li><li><b>
Fabric REST APIs</b></li><li><b>
Dataflows</b></li></ul></li><li>
Proven ability to work with large datasets and optimize performance.</li><li>
Excellent problem-solving, communication, and collaboration skills.</li><li>
Must hold a valid <b>Microsoft Certified Data Engineer Associate</b> or <b>Fabric Certified Associate</b> credential.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h3><ul><li>
Experience with CI/CD pipelines and DevOps practices for data engineering.</li><li>
Knowledge of data modeling, data warehousing, and cloud architecture.</li><li>
Exposure to enterprise data governance frameworks and compliance standards.</li></ul><p><b><br>
Our Commitment to a Culture of Inclusion &amp; Belonging</b><br>
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.</p></div>

Data Engineer

Indegene

<p></p><div><div><div><div><div><b>Date: </b>8 Oct 2025
</div></div></div></div><div><div><div><div><b>Location:
</b>KA, IN
</div></div></div></div><div><div><div><div><div><div><div><div>Job Description</div>
</div><div>We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that&rsquo;s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene&rsquo;s high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.</div></div><div><div><div>
Must Have</div>
</div><div><div>
Data Engineer- Omnichannel Activation</div><div><br>
Job Summary: We are seeking a motivated Junior Data Engineer to join our data team. The candidate will support the design, development, and maintenance of data pipelines and infrastructure. This role is ideal for someone with strong foundational skills in AWS, SQL, and Python, who is eager to grow into a well-rounded Data Engineer.</div>
<div>
Title / Designation: Junior Data Engineer</div>
<div>
The Job entails the following but not limited to:<br>
<ul><li>Develop and maintain ETL/ELT pipelines for data ingestion, transformation, and loading.</li><li>Work with AWS services (S3, EC2, RDS, Redshift) for data storage and processing.</li><li>Write Python scripts to automate data workflows and integrate different systems.</li><li>Manage and monitor data pipelines to ensure smooth operations and timely delivery.</li><li>Handle SFTP data transfers and integrations with external systems.</li><li>Support integration with CRMs such as Salesforce Marketing Cloud (SFMC), Microsoft Dynamics, and Veeva.</li><li>Write optimized SQL queries for data transformation and reporting.</li><li>Collaborate with analysts and stakeholders to understand requirements and deliver accurate datasets.</li><li>Maintain clear documentation for data pipelines, workflows, and integration processes.</li></ul></div>
<div>
Job Specification:<br>
<ul><li>Education/Background:</li></ul>
o Bachelor&rsquo;s degree in computer science, Information Technology, Data Engineering or related field.<br>
o 1&ndash;3 years of experience in data engineering role.<br>
o Exposure to marketing/CRM data is a plus.</div><div><br>
Who are we looking for?</div>
<div>
We are looking for people who have/can:<br>
<ul><li>Proficiency in AWS (S3, EC2, RDS, Redshift).</li><li>Strong hands-on experience with Python scripting for ETL/automation.</li><li>Solid understanding of SQL and relational databases.</li><li>Experience in building, monitoring, and troubleshooting data pipelines.</li><li>Manage SFTP data transfers and API-based integrations.</li><li>Problem-solving skills and attention to detail.</li><li>Eagerness to learn and grow into advanced data engineering roles.</li><li>Candidates with Pharma analytics experience will be preferred</li></ul></div>
<div>
Nice to Have:<br>
<ul><li>Exposure to AWS Glue, Lambda, Step Functions.</li><li>Experience with data visualization tools like Tableau or Power BI.</li><li>Knowledge of data governance and quality practices.</li></ul></div></div></div><div><div><div>
Good to have</div>
</div></div><div></div><div><div><div>EQUAL OPPORTUNITY</div>
</div><div>Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate&rsquo;s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.</div></div></div></div></div></div></div></div><p></p>

ShyftLabs

<div><div><b>Position Overview:</b></div><div>
We are seeking a skilled and passionate Data Engineer with deep expertise in Google Cloud Platform (GCP) and Google BigQuery. In this role, you will architect, build, and maintain the scalable data pipelines that are the foundation of our analytics and data science initiatives.</div><div>
You will be responsible for the entire data lifecycle, from ingestion and processing to warehousing and serving. You will work on creating a reliable, efficient, and high-quality data ecosystem that empowers our data analysts, data scientists, and business leaders to make critical data-informed decisions.</div><div></div><div><br>
ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries by focusing on creating value through innovation.</div>
<h3 class="jobSectionHeader"><b>Job Responsibilities:</b></h3><ul><li><b>
Data Architecture &amp; Pipeline Development:</b> Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using GCP services like Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.</li><li><b>
Data Warehousing:</b> Develop and manage our central data warehouse in Google BigQuery. Implement data models, schemas, and table structures optimized for performance and scalability.</li><li><b>
Data Processing &amp; Transformation:</b> Write clean, efficient, and robust code (primarily in SQL and Python) to transform raw data into curated, analysis-ready datasets.</li><li><b>
Infrastructure Optimization &amp; Scalability:</b> Monitor, troubleshoot, and optimize our data infrastructure for performance, reliability, and cost-effectiveness. Implement BigQuery best practices, including partitioning, clustering, and materialized views.</li><li><b>
Enable Data Accessibility &amp; BI:</b> Build and maintain curated data models that serve as the &quot;source of truth&quot; for business intelligence and reporting, ensuring data is ready for consumption by BI tools like Looker.</li><li><b>
Data Governance &amp; Quality:</b> Implement automated data quality checks, validation rules, and monitoring to ensure the accuracy and integrity of our data pipelines and warehouse.</li><li><b>
Collaboration:</b> Work closely with software engineers, data analysts, and data scientists to understand their data requirements and provide the necessary infrastructure and data products.</li></ul><h3 class="jobSectionHeader"><b>
Basic Qualifications:</b></h3><ul><li><b>
Experience:</b> 3-5+ years of hands-on experience in a Data Engineering, Software Engineering, or a similar role.</li><li><b>
Programming Skills:</b> Strong proficiency in a programming language such as Python or Java for data processing and automation.</li><li><b>
Expert SQL Proficiency:</b> Mastery of SQL for complex data manipulation, DDL/DML operations, and query optimization.</li><li><b>
Google BigQuery:</b> Proven expertise in using BigQuery as a data warehouse, including data modeling, performance tuning, and cost management.</li><li><b>
GCP Data Services:</b> Hands-on experience building data pipelines using the GCP ecosystem (e.g., Dataflow, Pub/Sub, Cloud Storage, Cloud Composer/Airflow).</li><li><b>
Data Pipeline Concepts:</b> Deep understanding of ETL/ELT principles and data warehousing architecture (e.g., Star Schema, Data Lakes).</li><li><b>
Engineering Mindset:</b> Strong problem-solving and troubleshooting skills with a focus on building scalable, maintainable, and automated systems.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h3><ul><li><b>
BI Tool Integration:</b> Experience building data models that power BI tools like Looker (knowledge of LookML is a strong plus), Tableau, or Power BI.</li><li><b>
Modern Data Stack Tools:</b> Experience with tools like dbt, Dataform, or Fivetran for data transformation and integration.</li><li><b>
Infrastructure as Code (IaC):</b> Familiarity with tools like Terraform or Deployment Manager for managing cloud infrastructure.</li><li><b>
Containerization:</b> Knowledge of Docker and Kubernetes is a plus.</li><li><b>
Certifications:</b> Google Cloud Professional Data Engineer certification is highly desirable.</li><li><b>
Version Control:</b> Proficiency with Git for code management and CI/CD pipelines.</li></ul><div><i>
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.</i></div></div>

NCR Atleos

<div><div>About NCR Atleos</div><div>
NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.</div><div></div><div>
Data is at the heart of our global financial network. In fact, the ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage. Our goal is to build and maintain a leading-edge data platform that provides highly available, consistent data of the highest quality for all users of the platform, including our customers, operations teams and data scientists. We focus on evolving our platform to deliver exponential scale to NCR Atleos, powering our future growth.</div><div><br>
Data Engineer at NCR Atleos experience working at one of the largest and most recognized financial companies in the world, while being part of a software development team responsible for next generation technologies and solutions. They partner with data and analytics experts to deliver high quality analytical and derived data to our consumers.</div><div>
We are looking for Data Engineer who like to innovate and seek complex problems. We recognize that strength comes from diversity and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Design is an iterative process, whether for UX, services or infrastructure. Our goal is to drive up modernizing and improving application capabilities.</div><div><br>
And Ideal candidate would have:</div><ul><li>
BA/BS in Computer Science or equivalent practical experience</li><li>
Overall 3+ years of experience on Data Analytics or Data Warehousing projects.</li><li>
At least 2+ years of Cloud experience on AWS/Azure/GCP, preferred Azure.</li><li>
Hands on experience in Microsoft Fabric or Databricks</li><li>
Programming in Python, PySpark, with experience using pandas, ml libraries etc.</li><li>
Orchestration frameworks like ADF, AirFlow</li><li>
Experience in various data modelling techniques, such as ER, Hierarchical, Relational, or NoSQL modelling.</li><li>
Excellent design, development, and tuning experience with SQL (OLTP and OLAP) databases.</li><li>
Good understanding of data security and compliance, and related architecture</li><li>
Experience with devops tools like Git, Maven, Jenkins, GitHub Actions, Azure DevOps</li><li>
Experience with Agile development concepts and related tools.</li><li>
Ability to tune and trouble shoot performance issues across the codebase and database queries.</li><li>
Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative data solutions.</li><li>
Excellent written and strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.</li><li>
Passion for learning with a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.</li></ul><div></div><div>
Good to have Skills:</div><ul><li>
Leverage machine learning and AI techniques on operationalizing data pipelines and building data products.</li><li>
Provide data services using APIs.</li></ul><div></div><div>
Offers of employment are conditional upon passage of screening criteria applicable to the job.</div><div></div><div>
EEO Statement<br>
NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.</div><div><br>
Statement to Third Party Agencies</div><div>
To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.</div></div><div></div>

Baker Hughes

<div><p><b>Data Engineer</b></p><p></p><p><br>
As a Data Engineer, you will be part of the Data &amp; Analytics Finance / Commercial team, typically involving large, complex data sets. These teams typically include SQL/ETL engineers, data visualization engineers, product managers, and end users, working in concert with partners in Baker Hughes business units. Potential application areas include visualization tools like Tableau, ThoughtSpot or PowerBI, delta lake technologies such as Databricks and ERP systems like SAP and Oracle.</p><p></p><p><b>
Responsibilities, authorities and accountability</b></p><p>
As a Data Engineer, you will be part of the Data &amp; Analytics Finance / Commercial team, typically involving large, complex data sets. These teams typically include SQL/ETL engineers, data visualization engineers, product managers, and end users, working in concert with partners in Baker Hughes business units. Potential application areas include visualization tools like Tableau, ThoughtSpot or PowerBI, delta lake technologies such as Databricks and ERP systems like SAP and Oracle.<br>
<br>
In this role, you will:</p><ul><li>
Performing a variety of data loads &amp; data transformations - develop own SQL code satisfying the data requirements given by stakeholders</li><li>
Working knowledge of methods for parsing, formatting, &amp; transforming data into units consistent with analytical needs.</li><li>
Demonstrating proficiency in implementation of logical/physical data models that support D&amp;A best practices.</li><li>
Performing integration of multiple data source-formats into master data load.</li><li>
Being proficient in the use of at least one ETL tool.</li><li>
Helping envision product roadmap</li><li>
Must have good communication skills - both oral and written</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
Bachelor's Degree. A minimum 2-3 years of professional experience.</li></ul><p><b>
Desired Characteristics</b></p><p>
Technical Expertise:</p><ul><li>
Have exposure and ability to script (SQL, Python, ...) experience</li><li>
Have an experience on new D&amp;A (Data &amp; Analytics) application development and existing application optimization is required (data source identification, mapping, ingestion, modelling and transformation for analytical consumption purposes)</li><li>
Be able to translates analytics problems into data requirements.</li><li>
Be able to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management, data lineage &amp; data profiling.</li><li>
Be able to understand the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team.</li><li>
Have a hands-on experience with SQL Database such as Oracle MySQL, PostgreSQL, Databricks</li></ul><p>
Leadership:</p><ul><li>
Demonstrated awareness of how to function in a team setting</li><li>
Distills information down to key points.</li><li>
Expresses the information clearly and concisely. Projects knowledge of relevant data.</li></ul><p><br>
Personal Attributes:</p><ul><li>
Demonstrated awareness of how to leverage curiosity and creativity to drive business impact</li><li>
Asks follow-up questions when presented with new data/projects. Sees the broader implications of an idea.</li><li>
Presents new ideas and concepts. Makes connections among previously unrelated ideas.</li><li>
Deep passion for learning.</li></ul><p></p><b>
About Us:</b><div>
We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward &ndash; making it safer, cleaner and more efficient for people and the planet.</div><br>
<b>
Join Us:</b><div>
Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let&rsquo;s come together and take energy forward.<br>
<br>
Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</div></div>

Virtusa Lifespaces India Pvt Ltd

<div><p>JD Senior Data Engineer<br>
Responsibilities<br>
Design and Develop Scalable Data Pipelines: Build and maintain robust data pipelines using Python to process, transform, and integrate large-scale data from diverse sources.<br>
Orchestration and Automation: Implement and manage workflows using orchestration tools such as Apache Airflow to ensure reliable and efficient data operations.<br>
Data Warehouse Management: Work extensively with Snowflake to design and optimize data models, schemas, and queries for analytics and reporting.<br>
Queueing Systems: Leverage message queues like Kafka, SQS, or similar tools to enable real-time or batch data processing in distributed environments.<br>
Collaboration: Partner with Data Science, Product, and Engineering teams to understand data requirements and deliver solutions that align with business objectives.<br>
Performance Optimization: Optimize the performance of data pipelines and queries to handle large scales of data efficiently.<br>
Data Governance and Security: Ensure compliance with data governance and security standards to maintain data integrity and privacy.<br>
Documentation: Create and maintain clear, detailed documentation for data solutions, pipelines, and workflows.<br>
Qualifications<br>
Required Skills:<br>
5+ years of experience in data engineering roles with a focus on building scalable data solutions.<br>
Proficiency in Python for ETL, data manipulation, and scripting.<br>
Hands-on experience with Snowflake or equivalent cloud-based data warehouses.Strong knowledge of orchestration tools such as Apache Airflow or similar.<br>
Expertise in implementing and managing messaging queues like Kafka, AWS SQS, or similar.<br>
Demonstrated ability to build and optimize data pipelines at scale, processing terabytes of data.<br>
Experience in data modeling, data warehousing, and database design.<br>
Proficiency in working with cloud platforms like AWS, Azure, or GCP.<br>
Strong understanding of CI/CD pipelines for data engineering workflows.<br>
Experience working in an Agile development environment, collaborating with cross-functional teams.<br>
Preferred Skills:<br>
Familiarity with other programming languages like Scala or Java for data engineering tasks.<br>
Knowledge of containerization and orchestration technologies (Docker, Kubernetes).<br>
Experience with stream processing frameworks like Apache Flink.<br>
Experience with Apache Iceberg for data lake optimization and management.<br>
Exposure to machine learning workflows and integration with data pipelines.<br>
Soft Skills:<br>
Strong problem-solving skills with a passion for solving complex data challenges.<br>
Excellent communication and collaboration skills to work with cross-functional teams.<br>
Ability to thrive in a fast-paced, innovative environment.</p><div><p><b>
About Virtusa</b></p>
<p>
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.</p>
<p>
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.</p>
<p>
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</p></div></div><p></p>

DATA Engineer

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