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

SWATX

<div><p>SWATX is seeking a skilled and experienced Data Engineer with minimum 3 years of experience to join our team. In this role, you will be responsible for building and maintaining our data infrastructure and architecture, ensuring the availability, reliability, and scalability of our data solutions. You will work closely with cross-functional teams to design and implement data pipelines, develop data models, and optimize data storage and retrieval processes. If you have a strong background in data engineering and a passion for transforming raw data into valuable insights, we would love to hear from you.</p><p></p><p><b>
Responsibilities:</b></p><ul><li>Design, develop, and maintain scalable data pipelines and architectures.
</li><li>Collect, process, and analyze large datasets from various sources to support business intelligence and analytics.
</li><li>Implement data integration solutions to ensure seamless data flow between systems and databases.
</li><li>Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions.
</li><li>Ensure data quality and integrity by performing regular data cleansing and validation.
</li><li>Optimize and tune database performance to handle large volumes of data efficiently.
</li><li>Develop and enforce data security and privacy policies to protect sensitive information.
</li><li>Monitor and troubleshoot data pipelines, addressing any issues or bottlenecks that arise.
</li><li>Create and maintain comprehensive documentation of data processes, pipelines, and architectures.
</li><li>Stay updated with emerging technologies and industry best practices in data
</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s degree in computer science, Information Technology, or a related field.
</li><li>Proven experience as a Data Engineer or in a similar role.
</li><li>Strong proficiency in SQL and experience with relational databases (e.g., MSSQL, Oracle, MySQL, PostgreSQL).
</li><li>Experience with BI technologies (e.g. Microsoft Power BI, Oracle BI, or similar).
</li><li>Preferable experience with big data technologies (e.g., Hadoop, Spark, Kafka).
</li><li>Proficiency in machine learning programming languages such as Python, R.
</li><li>Experience with Enterprise Data warehouse and Data Lake.
</li><li>Experience with ETL tools and processes (e.g. SSIS, ODI, Talend).
</li><li>Knowledge of data modeling, data architecture, and data governance principles.
</li><li>Strong problem-solving skills and attention to detail.
</li><li>Excellent communication skills, both verbal and written, in English and Arabic</li></ul><p></p><p>
Preferable Certificates:</p><ul><li>Microsoft Certified: Azure Data Engineer Associate
</li><li>Microsoft Certified: Power BI Associate
</li><li>Cloudera Certified Professional (CCP): Data Engineer
</li><li>Certified Data Management Professional (CDMP)</li></ul></div>

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>

Quadrabay Verification Services

<p><b>Position Summary</b></p><p>We are seeking a skilled <b>Data Engineer</b> with strong expertise in building and managing <b>ETL/ELT pipelines using PySpark</b> within an <b>AWS cloud environment</b>. The ideal candidate will be responsible for designing, implementing, and maintaining scalable data workflows to support multiple data sources, while ensuring seamless integration with <b>Power BI</b> for reconciliation, reporting, and advanced analytics.</p><p><b>Key Responsibilities</b></p><p>&middot; <b>Data Pipeline Development</b></p><p>o Design, develop, and maintain scalable <b>ETL/ELT pipelines</b> using <b>PySpark</b>.</p><p>o Implement data ingestion from multiple data sources (Finance, CRM, Payment Gateways, etc.) into AWS Data Lake/Warehouse.</p><p>o Ensure efficient <b>data partitioning, schema management, and optimization</b> for large datasets.</p><p>&middot; <b>Cloud &amp; Infrastructure (AWS)</b></p><p>o Leverage <b>AWS services</b> (S3, Glue, EMR, Redshift, Lambda, Step Functions) for data engineering workflows.</p><p>o Implement <b>data security, access control, and compliance</b> in line with organizational standards.</p><p>o Automate deployments using <b>CI/CD pipelines</b>.</p><p>&middot; <b>Data Integration &amp; Reporting</b></p><p>o Prepare curated datasets for <b>Power BI dashboards</b> and reports.</p><p>o Enable reconciliation processes by providing granular, auditable datasets.</p><p>o Collaborate with BI developers to ensure data accuracy, integrity, and performance in reporting.</p><p>&middot; <b>Collaboration &amp; Process</b></p><p>o Work closely with <b>Business Analysts, Data Scientists, and ERP functional teams</b> to understand requirements.</p><p>o Participate in <b>data governance initiatives</b>, ensuring metadata, lineage, and quality controls are implemented.</p><p>o Provide support for <b>ad-hoc analytics requests</b> from stakeholders.</p><p><b>Required Skills &amp; Qualifications</b></p><p>&middot; <b>Technical Skills</b></p><p>o Strong programming in <b>Python</b> with deep knowledge of <b>PySpark</b>.</p><p>o Proven experience in <b>ETL/ELT pipeline development</b> in distributed environments.</p><p>o Expertise in <b>AWS data services</b> (S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis).</p><p>o Proficiency in <b>SQL (analytical queries, optimization, tuning)</b>.</p><p>o Familiarity with <b>Power BI integration</b> (Direct Query, Dataflows, Gateways).</p><p>&middot; <b>Data Engineering Practices</b></p><p>o Experience with <b>data lakes, warehouses, and star/snowflake schema design</b>.</p><p>o Knowledge of <b>data quality frameworks, reconciliation processes, and auditability controls</b>.</p><p>o Hands-on experience with <b>workflow orchestration tools</b>.</p><p>&middot; <b>Soft Skills</b></p><p>o Strong problem-solving and analytical skills.</p><p>o Ability to collaborate across IT, business, and analytics teams.</p><p>o Clear communication for technical and non-technical stakeholders.</p><p><b>Preferred Qualifications</b></p><p>&middot; Experience with <b>ERP data models</b> (Finance, CRM - Reconciliation).</p><p>&middot; Exposure to <b>machine learning data preparation</b> (feature engineering, training/test datasets).</p><p>&middot; Certification(s):</p><p>o AWS Certified Data Analytics &ndash; Specialty</p><p>o Databricks/Spark Developer Certification</p><p>o Microsoft Power BI Data Analyst Associate</p><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>Ajman: Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Application Question(s):</p><ul><li>Availability to start immediately </li><li>Visa Status</li></ul><p>Experience:</p><ul><li>Data Engineer: 3 years (Preferred)</li></ul><p>Language:</p><ul><li>English  (Preferred)</li></ul>

ZIEL Global Private Limited

<p><b>About the Role</b><br/>We&rsquo;re looking for a <b>Data Engineer</b> to build secure, reliable, and scalable data pipelines powering real-time analytics and AI insights. You&rsquo;ll design cloud-based architectures that process, clean, and deliver mission-critical data across operations.</p><p><b>Key Responsibilities</b></p><ul><li>Design and maintain data pipelines for large-scale transactional and real-time data</li><li>Develop ETL/ELT workflows using Azure Data Factory, Databricks, or similar</li><li>Implement data quality, validation, and monitoring frameworks</li><li>Ensure compliance with data governance and protection regulations</li><li>Optimize data storage and access performance</li><li>Collaborate with AI, product, and backend teams for seamless data delivery</li></ul><p><b>Qualifications</b></p><ul><li>Bachelor&rsquo;s in Computer Science, Engineering, or related field</li><li>5+ years of data engineering experience</li><li>Expertise in SQL, Python, and Azure data services (Data Factory, Synapse, Data Lake)</li><li>Knowledge of both batch and streaming architectures</li><li>Strong understanding of data security and governance</li></ul><p><b>Preferred</b></p><ul><li>Experience with real-time analytics and industrial or procurement datasets</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul><p>Work Location: In person</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>

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