data warehouse engineer

Version 1

<div><b>Company Description</b><p><br>
Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We&rsquo;re also an award-winning employer reflecting how employees are at the heart of Version 1.</p><p>
We&rsquo;ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.</p><p>
As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We&rsquo;re focused on our core values; using these we&rsquo;ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.</p><b><br>
Job Description</b><p><b><br>
Job Description</b></p><p>
This is an exciting opportunity for an experienced developer of large-scale data solutions. You will join a team delivering a transformative cloud hosted data platform for a key Version 1 customer.</p><p>
The ideal candidate will have a proven track record as a senior/self-starting data engineer in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, <b>Informatica, Talend, Azure Data Factory, Snowflake, Azure Synapse Analytics, or Amazon Redshift</b>, to play an important role in developing and delivering early proofs of concept and production implementation.</p><p>
You will ideally have experience in building solutions using a variety of tools, and a proven track record in delivering high quality work to tight deadlines.</p><p>
Your main responsibilities will be:</p><ul><li>
Design, develop, and maintain scalable data warehouse solutions using modern cloud-based platforms such as Snowflake, Azure Synapse Analytics, or Amazon Redshift to support enterprise-level analytics and reporting needs.</li><li>
Core responsibilities include building efficient Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines using tools like Informatica, Talend, or Azure Data Factory, conducting thorough data validation to ensure accuracy and consistency, and providing support for Business Intelligence (BI) reporting initiatives.</li><li>
Strong proficiency in SQL is required for querying and data manipulation, along with experience in dimensional data modeling to optimize analytical performance.</li><li>
Familiarity with reporting and visualization tools such as Power BI or Tableau is essential.</li><li>
Developing scalable and re-usable frameworks for ingestion and transformation of large data sets</li><li>
Integrating the end to end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times</li><li>
Working with other members of the project team to support delivery of additional project components (Reporting tools, API interfaces, Search)</li><li>
Evaluating the performance and applicability of multiple tools against customer requirements</li><li>
Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
Bachelor&rsquo;s or master's degree in Computer Science, Business Information Systems, Mathematics, or related quantitative field</li><li>
3+ years of experience in DWH implementation</li><li>
Candidates must possess hands-on experience with Structured Query Language (SQL), data quality management tools, and should be proficient in facilitating data exchange through Application Programming Interfaces (APIs).</li><li>
Deep knowledge of operating systems and relational database with advanced SQL and Python skills</li><li>
Proficiency in the data concepts related to curation, archival, analysis, visualization and integrity</li><li>
Good knowledge in at least one business intelligence solution (e.g., Power BI)</li><li>
Strong analytical, critical-thinking, and problem-solving skills</li><li>
Excellent communication skills and team-oriented approach</li><li>
Have led minimum 2 mid-scale Data Warehouse projects</li><li>
Direct experience of building data piplines using Azure Data Factory and Databricks</li><li>
Experience building data warehouse solutions using ETL / ELT tools like Informatica, Talend, Azure DataFactory</li><li>
Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.</li></ul><p><b>
Nice to have</b></p><ul><li>
Additional knowledge of data governance principles and metadata management practices is considered a valuable asset.</li></ul><br>
<b>
Additional Information</b><p><br>
At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.</p><p>
One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.</p><p>
We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.</p><p>
Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.</p></div>

Data Warehouse Engineer

Etaclam Techno Services

<p>Job Title: Data Engineer</p><p>Work Experience: 8 to 10 years</p><p>Skills Required: ODI; Oracle Data Warehouse; ETL; Python; SQL</p><p>We are seeking an experienced Enterprise Data Engineer to design, build, and optimize large-scale data integration and warehouse solutions. The ideal candidate will have hands-on expertise in Oracle Data Integrator (ODI), Oracle Data Warehouse, Oracle Database, Advanced SQL, Python programming, and performance tuning for both ODI and databases.<br/>Key Responsibilities<br/>&bull;&emsp;&emsp;Design, build, and maintain data pipelines to integrate data from multiple enterprise systems into the data warehouse.<br/>&bull;&emsp;&emsp;Develop and optimize ETL processes using Oracle Data Integrator.<br/>&bull;&emsp;&emsp;Develop, implement, and orchestrate ETL pipelines using Oracle Data Integrator (ODI) within Oracle Data Warehouse and Oracle Database environments.<br/>&bull;&emsp;&emsp;Write and optimize advanced SQL queries for performance</p><p>Job Type: Contractual / Temporary<br/>Contract length: 6 months</p><p>Pay: &#8377;150,000.00 per month</p><p>Experience:</p><ul><li>engineeering: 8 years (Required)</li></ul><p>Work Location: Remote</p>

Senior Data Engineer

Deutsche Lufthansa AG

<div><div><div><p>Hybrid Model (remotely &amp; onsite) / 1-year fixed term contract</p></div>
<div><div><p>
Join the team behind Lufthansa Group&rsquo;s largest Data Warehouse! We&rsquo;re looking for Data Engineers to gather, process, and deliver insights across key business areas from sales and pricing to loyalty and revenue management driving the airline group&rsquo;s digital transformation through agile practices.</p></div></div>
<div><div>
<h2 class="jobSectionHeader"><b>FACTS</b></h2>
<ul><div>Location<div><b>
Bangalore</b></div>
</div>
<div>Employment level<div><b>
Direct entry</b></div>
</div>
<div>Function<div><b>
IT</b></div>
</div>
<div>Working time<div><b>
Full time</b></div>
</div>
<div>Publishing date<div><b>
09-04-2025</b></div>
</div>
<div>Application deadline<div><b>
09-25-2025</b></div>
</div></ul></div></div></div><div></div>
<div><div><div>Tasks</div>
</div><div></div><div>
<div><div><p>The<b> Data Engineer </b>is responsible for:</p><ul>
<li>
Gathering &amp; analyzing business requirements &amp; expectations</li>
<li>Finding relation between business requirements &amp; existing data model</li>
<li>Identification of new necessary data sources based on business requirements</li>
<li>Providing proof-of-concepts in direct cooperation with business</li>
<li>Planning of the stories &amp; tasks including estimations for the realization of the identified requirements</li>
<li>Implementing new functionalities based on gathered &amp; analyzed requirements</li>
<li>Developing changes &amp; improvements in the existing processes</li>
<li>Implementation of import &amp; export processes into &amp; from the data warehouse</li>
<li>Preparation of documentation of the particular steps &amp; the final product</li>
<li>Based on your performance, you may be offered a transition to an unlimited- Full term contract</li><br>
</ul>
<ul><li><b><i>Participate in other duties as assigned</i></b></li></ul></div></div>
<div></div>
</div><div></div><div><div>Behind the scenes</div>
</div><div></div><div><div><div><div><p><b>Come and join the fascinating airline industry!</b></p><p>
Join our growing team of professionals in a dynamic working environment!</p></div>
<div></div>
</div></div></div><div><div>Requirements</div>
</div><div></div><div><p>
To excel in this role, you will need a combination of the following qualifications:</p><ul>
<li>
Work experience in Data Processing with Data Bases &amp; Data Warehouses (database procedural language &amp; ETL tools)</li>
<li>Very good knowledge in SQL, best would be in Teradata SQL</li>
<li>Understanding &amp; experience in Data Warehouse principless</li>
<li>At least 3 years of experience in a similar position</li>
<li>Knowledge &amp; understanding of cloud technology, best would be practical experience in MS Azure</li>
<li>Knowledge of Version Control tools</li>
<li>Very good analytical thinking skills</li>
<li>General knowledge of Unix/Linux systems</li>
<li>Database operations experience (partitioning, index/statistics maintenance, performance analysis)</li>
<li>Experience with Teradata technology</li>
<li>Knowledge of Python</li>
<li>Knowledge about Agile/Scrum methodologies, e.g spotify model, SAFe</li>
<li>Must be willing to work shifts</li></ul><br>
<p></p>
<ul><li><b><i>CV/Resume required</i></b></li></ul>
<ul><li><b><i>Company will not provide relocation assistance</i></b></li></ul></div>
<div><div>
Company</div></div></div></div><div></div>

Data Engineer

Source-Right Inc.

<div><div><p><b>Position: Data Engineer with Snowflake and TimeXtender (RF58ST RM 3565)</b></p>
<p><b>Role Summary:</b><br>
We are seeking an Offshore-based skilled and detail-oriented Data Engineer to provide Business-As-Usual (BAU) support for our Central Data Repository (CDR). The ideal candidate will ensure the smooth operation, maintenance, and optimization of the repository, supporting data integrity, performance, and availability.</p>
<p><b>Key Responsibilities:</b></p>
<ul><p>Monitor and maintain the Central Data Repository to ensure consistent availability and performance.</p>
<p>Identify, troubleshoot, and resolve data pipeline and overall data issues</p>
<p>Perform routine data quality checks, validations, and integrity assessments.</p>
<p>Manage data ingestion, transformation, and integration processes across multiple sources.</p>
<p>Collaborate with stakeholders to address data access and reporting needs.</p>
<p>Implement optimizations to improve storage efficiency and query performance.</p>
<p>Document processes, issue resolutions, and system changes to ensure knowledge continuity.</p>
</ul>
<p><b>Qualifications:</b></p>
<ul><p>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field.</p>
<p>Four-plus (4+) years of data management and data integration experience</p>
<p>Four-plus (4+) years of experience with SQL in a Relational Database Environment (Microsoft SQL preferred) with ability to code medium complexity SQL.</p>
<p>Proficiency in SQL and data pipeline tools.</p>
<p>Experience in Data Warehouse is a must.</p>
<p>Experience with AWS or other cloud services a plus.</p>
<p>Experience with cloud-based data platforms (e.g., AWS, Snowflake).</p>
<p>Strong understanding of data modeling, ETL/ELT processes, and data governance principles.</p>
<p>Excellent problem-solving skills and ability to work in a fast-paced environment.</p>
</ul>
<p><b>*******************************************************************************************************************************************</b></p>
</div>
<div><div><div><div><b>Job Category: </b>Digital_Cloud_Web Technologies
</div><div><b>Job Type: </b>Full Time
</div><div><b>Job Location: </b>Pune
</div><div><b>Experience: </b>5 - 8 Years
</div><div><b>Notice period: </b>0-30 days</div></div></div></div></div>

Data Engineer with Snowflake and TimeXtender (RF58ST RM 3565)

Saaf Finance

<p></p><div><p>Saaf Finance is building the AI workforce for the mortgage industry, reimagining how loans are underwritten and processed. Backed by leading financial institutions, we&rsquo;re scaling fast and looking for a Data Engineer who thrives on solving complex data challenges and wants to shape the infrastructure behind one of the most data-intensive industries in the world.</p><p></p><p>
As a Data Engineer at Saaf, you&rsquo;ll own the backbone of our AI-driven platform: the data. From borrower interactions to loan performance metrics, every workflow we build depends on data being accurate, reliable, and available in real-time. This is a hands-on role where you&rsquo;ll work closely with engineering, product, and data teams to design and operate production-grade infrastructure that powers analytics, product features, and next-generation agentic automation in mortgage origination.</p><p>
This role is perfect for someone who enjoys building from scratch, wants to push the boundaries of how data pipelines can support AI systems, and is excited to reimagine financial workflows at scale.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Data Pipeline Development &ndash; Design, implement, and maintain ETL/ELT pipelines for structured and unstructured datasets from internal and external sources.</li>
<li>Data Warehousing &ndash; Build and optimize warehouses and marts (Snowflake, BigQuery, or similar) for analytics, reporting, and product use cases.</li>
<li>Integration &ndash; Ingest data from APIs, SaaS platforms such as CRM and financial data APIs, and internal systems into the core data platform.</li>
<li>Data Modeling: Design, implement, and maintain conceptual, logical, and physical data models to ensure scalable, consistent, and high-quality datasets for downstream analytics and applications</li>
<li>Data Quality and Governance &ndash; Implement validation, schema management, and robust documentation to ensure data accuracy and compliance.</li>
<li>Performance Optimization &ndash; Monitor and fine-tune pipeline and warehouse performance for scalability and cost efficiency.</li>
<li>Security and Compliance &ndash; Apply data security and privacy controls aligned with financial regulatory requirements, ensuring full traceability of every transformation.</li>
Analytics Enablement &ndash; Provide clean, consistent datasets for analysts, product managers, and operational teams to support fast, data-driven decisions.<br>
<li>
</li></ul><p><b>Requirements</b></p><p>
Technical Expertise</p><ul>
<li>Strong SQL and Python development skills for data transformation and automation.</li>
<li>Experience with modern ETL/ELT frameworks such as dbt.</li>
<li>Proficiency with cloud platforms (AWS preferred) and serverless data services.</li>
<li>Strong experience with data warehouse technologies (Snowflake preferred).</li>
Skilled in API integrations and ingestion from third-party systems.<br>
<li>
</li></ul><p>Data Operations</p><ul>
<li>Proficient in data modeling (Kimball/Star schema, Data Vault).</li>
<li>Experience implementing CI/CD practices for data workflows.</li>
<li>Ability to set up logging, monitoring, and alerting for data jobs.</li>
</ul><p></p><h3 class="jobSectionHeader"><b>Bonus Skills</b></h3><ul>
<li>Experience building agentic workflows and orchestrating multi-step automated processes that act on data in real time.</li>
<li>Familiarity with data engineering patterns and infrastructure required for the recent wave of AI-powered tools and automation platforms.</li>
<li>Experience working with financial datasets and APIs in a high-compliance environment.</li>
Understanding of data privacy regulations such as GDPR and CCPA.<br>
<li>
</li></ul><h3 class="jobSectionHeader"><b>Qualifications</b></h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li>
<li>3+ years in a data engineering or similar backend data-focused role.</li>
<li>Proven track record of delivering production-grade data pipelines at scale.</li>
<li>Experience collaborating closely with product managers, data scientists, and full stack engineers.</li>
<li>Startup mindset: hands-on, resourceful, and comfortable operating in a fast-paced environment.</li>
</ul><p></p><p><b>Benefits</b></p><ul>
<li>Competitive salary
</li><li>High ownership from day one &mdash; your work will directly shape core systems and products
</li><li>Fast-paced environment with quick decision cycles and minimal bureaucracy
</li><li>Remote-first team with flexibility on work hours and location
</li><li>Direct access to founders and cross-functional teams &mdash; no layers, no silos
</li><li>Clear expectations, regular feedback, and support for professional growth
</li><li>Work on real problems in a complex, high-impact industry</li></ul></div><p></p>

Oracle

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 At Oracle Health, we put humans at the heart of every conversation. Our mission is to create a human-centric healthcare experience powered by unified global data. As a global leader we&rsquo;re looking for a Data Engineer with BI to join an exciting project for replacing existing Data warehouse systems with the Oracle's own data warehouse to manage storage of all the internal corporate data to provide insights that will help our teams to make critical business decisions Join us and create the future!
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Career Level - IC3
 <br/>
 <br/>
 Roles and Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Proficient in writing and optimising SQL queries for data extraction
  </li>
  <li>
   Translate client requirements to technical design that junior team members can implement
  </li>
  <li>
   Developing the code that aligns with the technical design and coding standards
  </li>
  <li>
   Review design and code implemented by other team members. Recommend better design and efficient code
  </li>
  <li>
   Conduct Peer design and Code Reviews for early detection of defects and code quality
  </li>
  <li>
   Documenting ETL processes and data flow diagrams
  </li>
  <li>
   Optimizing data extraction and transformation processes for better performance
  </li>
  <li>
   Performing data quality checks and debugging issues
  </li>
  <li>
   Conducting root cause analysis for data issues and implementing fixes
  </li>
  <li>
   Collaborating with more experienced developers on larger projects, collaborate with stakeholders on the requirements
  </li>
  <li>
   Participate in the requirements, design and implementation discussions
  </li>
  <li>
   Participating in learning and development opportunities to enhance technical skills
  </li>
  <li>
   Test storage system after transferring the data
  </li>
  <li>
   Exposures to Business Intelligence platforms like OAC, Power BI or Tableau
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Technical Skills Set :
 <br/>
 <br/>
 <ul>
  <li>
   You must be strong in PLSQL concepts such as tables, keys, DDL, DML commands, etc.
  </li>
  <li>
   You need be proficient in writing, debugging complex SQL queries, Views and Stored Procedures.
  </li>
  <li>
   Strong hands on in Python / PySpark programming
  </li>
  <li>
   As a Data Engineer, you must be strong in data modelling, ETL / ELT concepts, programming / scripting Python language,
  </li>
  <li>
   You must be proficient in the following ETL process automation tools
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 <br/>
 <br/>
 <ul>
  <li>
   Oracle Data Integrator (ODI)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 <br/>
 <br/>
 <ul>
  <li>
   Oracle Data Flow
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 <br/>
 <br/>
 <ul>
  <li>
   Oracle Database / Autonomous Data warehouse
  </li>
  <li>
   Should possess working knowledge in any of the cloud platform like Oracle Cloud (Preferred), Microsoft Azure, AWS
  </li>
  <li>
   You must be able to create technical design, build prototypes, build and maintain high performing data pipelines, optimise ETL pipelines
  </li>
  <li>
   Good knowledge on Business Intelligence development tools like OAC, PowerBI
  </li>
  <li>
   Good to have Microsoft ADF and Data Lakes, Databricks
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Career Level - IC3
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 <br/>
 <br/>
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 <br/>
 <br/>
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 <br/>
 <br/>
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 <br/>
 <br/>
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>


Software Developer 3

CHRYSELYS

<div><div><b>Associate - Data Engineering</b></div><div>
</div><div><b>
Roles &amp; Responsibilities</b>:</div><div>
</div><ul><li>We are looking for a Data Engineering who will be majorly responsible for <b>building and maintaining ETL/ ELT pipelines</b>.</li><li>You are expected to build and manage Data warehouse solutions, data models, creating ETL processes, implementing data quality checks etc.</li><li>Support data enablement across applications and build Data Quality enhancements.</li><li>Responsible for performing EDA (exploratory data analysis), troubleshoot data related issues, integrating various data sets etc.</li></ul><div><b>
</b></div><div><b>
Required Technical Skills</b></div><div>
</div><ul><li>Extensive experience in <b>Python, Pyspark, SQL</b>.</li><li>Strong experience in Data Warehouse, ETL, Data Modelling, <b>ETL Pipelines, Snowflake</b> database.</li><li>Must be proficient in <b>Databricks</b>, <b>Dataiku</b>, Alteryx.</li><li>Good experience in creating and operationalizing ARDs.</li><li>Hands-on experience in cloud services like Azure, AWS- S3, Glue, Lambda, CloudWatch, Athena.</li><li>Sound knowledge in end-to-end Data management, data ops, quality and data governance.</li><li>Experience in <b>developing agents to automate the data processes</b> and improve quality and governance</li><li>Exposure to Data Lineage and Metadata to build AI ready foundational data</li><li>Know-how of Agentic AI and other automation technologies will be a plus.</li><li>Knowledge of SFDC, Waterfall/ Agile methodology.</li></ul><div>
</div><div><b>Qualifications</b></div><div>
</div><ul><li>Bachelor&rsquo;s or master&rsquo;s Engineering/ MCA or equivalent degree.</li><li><b>1-3 years of relevant industry experience as Data Engineer</b>.</li><li>Experience working in Pharma domain working on various data sets such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.</li><li>High motivation, good work ethic, working independently, self-organized and personal initiative.</li><li>Ability to work collaboratively and providing the support to the team.</li><li>Excellent written and verbal communication skills.</li><li>Strong analytical and problem-solving skills.</li></ul><div><b>
Location</b></div><div><b>
</b></div><ul><li>Preferably Hyderabad/ Chennai, India</li></ul><div></div><div><b><br>
</b></div><div><b>
About Us</b></div><div>
</div><div>
Chryselys is a US based Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.</div><div>
</div><div>
Chryselys was founded in the heart of US Silicon Valley in November 2019 with the vision of delivering high-value business consulting, solutions, and services to clients in the healthcare and life sciences space. We are trusted partners for organizations that seek to achieve high-impact transformations and reach their higher-purpose mission.</div><div>
</div><div>
Chryselys India supports our global clients to achieve high-impact transformations and reach their higher-purpose mission.</div><div>
</div><div>
Please visit:</div><div>
https://linkedin.com/company/chryselys/mycompany</div><div>
https://chryselys.com for more details.</div></div><div></div>

Associate - Data Engineering

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