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lead data analyst - data operations

data engineer

Cloudelligent

<div>Position Title: AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Islamabad 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
7imWPeD9wJ</div>

AWS Data Engineer

KEMAT CONSULTING

Kemat Consulting LimitedLocation: Islamabad, BlueareaExperience required: 5 yearsJob Type: On-SiteFull-time [UK Time Zone] About the Role:We are looking for a dynamic and detail-oriented BI Developer with strong expertise in Microsoft Power Platform and related technologies. This role involves working with complex data environments including Data Lakes, Data Warehouses, and external data sources such as CSV files, PDF documents, and APIs. The ideal candidate will be passionate about transforming raw data into meaningful insights through advanced analytics and visualization.Key Responsibilities:<ul><li>Extract and integrate data from various sources including Data Lakes, Data Warehouses, CSV files, PDFs, and API connections.</li><li>Clean, transform, and structure data for reporting and analytics.</li><li>Develop and optimize SQL stored procedures, views, and queries for efficient data processing.</li><li>Write Python scripts for automation, data enrichment, and custom add-ons.</li><li>Design and build interactive dashboards and reports using Power BI.</li><li>Utilize Databricks, Notebook Visualization, and other tools for advanced analytics.</li><li>Collaborate with stakeholders to gather requirements and deliver tailored BI solutions.</li><li>Ensure data accuracy, performance, and security across all BI platforms.</li><li>Participate in requirement analysis, solution design, and implementation planning.</li><li>Work within Azure DevOps for version control, CI/CD, and task tracking.</li></ul>Required Skills &amp; Qualifications:<ul><li>Proficiency in Microsoft Power Platform (Power BI, Power Automate, Power Apps).</li><li>Strong SQL skills including stored procedures, views, and performance tuning.</li><li>Experience with Python for data manipulation and scripting.</li><li>Familiarity with Databricks, Notebook Visualization, and Azure Data Services.</li><li>Experience pulling and processing data from CSV, PDF, and API sources.</li><li>Solid understanding of data analysis, computation, and analytics.</li><li>Excellent English communication skills &ndash; clear spoken and written.</li><li>Proven experience working in global environments with diverse cultures and ethnicities.</li><li>Strong interpersonal skills and ability to communicate technical concepts effectively.</li><li>Comfortable with multitasking and managing multiple priorities.</li></ul>Preferred Qualifications:<ul><li>Relevant certifications such as:</li><li>Microsoft Certified: Data Analyst Associate</li><li>Microsoft Certified: Azure Data Engineer Associate</li><li>Databricks Certified Data Engineer</li><li>Experience with Azure DevOps and agile development practices.</li><li>Exposure to Scrum/Agile methodologies.</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs300,000.00 per monthWork Location: In person

BI Developer – Power Platform

S&P Global

About the Role: 
Grade Level (for internal use): 09
 
The Team : 
This team is responsible for delivering S&P Global data via structured feeds, with a specialized focus on Private Markets and Fundamental Data . Their mission is to ensure timely, accurate, and scalable delivery of high-value financial datasets to clients and internal platforms, enabling deep insights into private equity, venture capital, and company fundamentals.
 
The Impact : 
This role plays a critical part in accelerating the migration of data delivery channels to cloud-native infrastructure , enabling faster, more scalable, and resilient distribution of S&P Global’s financial datasets. By modernizing legacy systems and embracing cloud technologies, this role directly contributes to:
 Improved performance and reliability of data feeds.
 Greater agility in responding to client and market needs.
 Enhanced security and compliance through cloud-native best practices.
 Future-proofing the data delivery ecosystem for innovation and growth.
 
What’s in it for you : 
Impactful Work : Deliver high-value Private Markets and Fundamental data that drives key investment decisions globally.
 Cloud-Native Innovation : Play a central role in accelerating the migration to modern, cloud-native infrastructure—enhancing scalability, performance, and reliability.
 Domain & Technical Expertise : Be part of a team that blends deep financial domain knowledge with strong technical capabilities.
 Dynamic Team Culture : Work alongside a passionate, collaborative, and agile team that delivers world-class financial data to the market.
 Growth Opportunities : Gain hands-on experience with cutting-edge technologies, cloud platforms, and data engineering practices.
 
Responsibilities: 
Deliver Private Markets and Fundamental datasets through robust data pipelines.
 Participate in design sessions for new product features and capabilities
 Accelerate the migration of delivery channels to cloud-native infrastructure , improving scalability, reliability, and performance.
 Engineer components and common services based on standard corporate development models, languages and tools.
 Collaborate effectively with technical and non-technical stakeholders.
 
What We’re Looking For: 
Bachelor's/PG degree in Computer Science, Information Systems or equivalent.
 6-9 years of strong experience in application development using oracle or Microsoft technologies
 Proficient with software development lifecycle (SDLC) methodologies like Agile , Scrum, Test-driven development .
 Strong command of essential technologies: SQL , AWS EC2, S3, RDS, Redshift, AWS Lambda and Step functions, Terraform, Python/Java, T-sql, PL/SQL,
 
About S&P Global Market Intelligence
 
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
 
For more information, visit www.spglobal.com/marketintelligence .
 
What’s In It For You?
 
Our Purpose: 
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
 
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
 
Our People: 
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
Our Values: 
Integrity, Discovery, Partnership
 
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
 
Benefits: 
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
 
Our benefits include: 
Health & Wellness: Health care coverage designed for the mind and body.
 
Flexible Downtime: Generous time off helps keep you energized for your time on.
 
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
Global Hiring and Opportunity at S&P Global: 
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
Recruitment Fraud Alert: 
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
 
-----------------------------------------------------------
 
Equal Opportunity Employer
 S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
 
Job ID: 309097
 Posted On: 2025-09-10
 Location: Islamabad, Pakistan

Engineer, Software Engineering

<div>
 
 About The Role
 
 
 
 
 Grade Level (for internal use):
 
 
 
 10
 
 
 
 Team Overview
 
 
 
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially
 
 AWS and Snowflake
 
 , and prioritise data security and governance.
 
 Collaboration is key
 
 , as we work closely with
 
 Data Scientists and ML Engineers
 
 to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like
 
 Generative AI models
 
 and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 
 
 
 Role Impact
 
 
 
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the
 
 Machine Learning (ML) and Generative AI (GenAI) lifecycle
 
 . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will
 
 drive innovation by developing, optimising, and maintaining production-level data pipelines
 
 that support both analytical and predictive modelling, enhancing data processing efficiency and enabling
 
 data-driven decision-making
 
 across the organisation.
 
 
 Main Contributions
 
 
 
 Responsibilities: (Dual Emphasis on Data Engineering &amp; Data Science Enablement)
 
 
 
 <ul>
 <li>
 ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
 </li>
 <li>
 Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store, ensuring consistency, reusability, and low-latency access to features for model training and deployment.
 </li>
 <li>
 GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data, including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
 </li>
 <li>
 MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow), focusing on automating pipelines and managing data versioning.
 </li>
 <li>
 Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads, while managing costs effectively.
 </li>
 <li>
 Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets, maintaining data integrity and confidentiality in line with governance standards.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 
 Essential Skills: (Dual Focus)
 
 
 
 <ul>
 <li>
 Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
 </li>
 <li>
 Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
 </li>
 <li>
 Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
 </li>
 <li>
 Distributed Processing: Familiarity with distributed computing frameworks such as Dask for large-scale data transformation.
 </li>
 <li>
 Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
 </li>
 <li>
 Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications: (AI/ML Specialization)
 
 
 
 <ul>
 <li>
 MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
 </li>
 <li>
 Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures.
 </li>
 <li>
 Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
 </li>
 <li>
 Advanced Data Orchestration: Experience with modern orchestrators like Prefect, or Dagster for managing complex, data-science-focused workflows.
 </li>
 <li>
 Experience with Cortex AI or comparable cloud AI tools.
 </li>
 <li>
 Certifications in Snowflake, AWS Data Analytics, or related areas.
 
 
 </li>
 </ul>
 #
 
 
 
 What&rsquo;s In It For
 
 
 You?
 
 
 
 
 Our Purpose
 
 
 
 Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology&ndash;the right combination can unlock possibility and change the world.
 
 
 Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&amp;P Global we transform data into Essential Intelligence&reg;, pinpointing risks and opening possibilities. We Accelerate Progress.
 
 
 
 Our People
 
 
 
 We're more than 35,000 strong worldwide&mdash;so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
 
 From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&rsquo;re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We&rsquo;re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
 
 
 Our Values
 
 
 
 
 Integrity, Discovery, Partnership
 
 
 
 At S&amp;P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of
 
 integrity
 
 in all we do, bring a spirit of
 
 discovery
 
 to our work, and collaborate in close
 
 partnership
 
 with each other and our customers to achieve shared goals.
 
 
 
 Benefits
 
 
 
 We take care of you, so you can take care of business. We care about our people. That&rsquo;s why we provide everything you&mdash;and your career&mdash;need to thrive at S&amp;P Global.
 
 
 
 Our Benefits Include
 
 
 
 <ul>
 <li>
 Health &amp; Wellness: Health care coverage designed for the mind and body.
 </li>
 <li>
 Flexible Downtime: Generous time off helps keep you energized for your time on.
 </li>
 <li>
 Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 </li>
 <li>
 Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 </li>
 <li>
 Family Friendly Perks: It&rsquo;s not just about you. S&amp;P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 </li>
 <li>
 Beyond the Basics: From retail discounts to referral incentive awards&mdash;small perks can make a big difference.
 
 
 </li>
 </ul>
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
 
 
 Global Hiring And Opportunity At S&amp;P Global
 
 
 
 At S&amp;P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
 
 
 Recruitment Fraud Alert
 
 
 
 If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&amp;P Global never requires any candidate to pay money for job applications, interviews, offer letters, &ldquo;pre-employment training&rdquo; or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
 
 
 
 Equal Opportunity Employer
 
 
 
 S&amp;P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
 
 If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
 
 
 US Candidates Only:
 
 The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
 
 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority &ndash; Ratings - (Strategic Workforce Planning)
 
 
 
 Job ID:
 
 318971
 
 
 
 Posted On:
 
 2025-09-09
 
 
 
 Location:
 
 Islamabad, Pakistan
 
 
</div>

Senior Data Scientist

convo

<div><h2 class="jobSectionHeader">Job Summary</h2>
Sr. BI Engineer is a BI resource with a strong client service focus and teamwork skills, good command both of back-end and front-end BI tools, and a true passion for technology. This resource will oversee BI end-to-end solution, assuring Business Intelligence technical consistency to the solution configuration and customization, as well as being the point of reference for the client and the project team on Data Quality side. Experience in specific CPG/FMCG sales processes (trade promotions, sales agreement, sales force automation, incentives management, retail execution) will be a valuable plus.<h2 class="jobSectionHeader">
Duties &amp; responsibilities:</h2><ul><li>
Elicit and formalize customer requirements and drive analysis through workshops.</li><li>
Formalize Functional Specifications and estimates for specific developments.</li><li>
Participate in drawing up of the Functional Blueprint and produce documentation of the solution.</li><li>
Engage the customer on User Acceptance Strategy, Planning and Execution.</li><li>
Responsible for the complete documentation and collaterals for AMS handover.</li></ul><h2 class="jobSectionHeader">
Technical skills:</h2><ul><li>
Deep understanding of software applications architecture and infrastructure.</li><li>
Sophisticated knowledge of SQL, TSQL and RDBMS architecture.</li><li>
Experience with ETL and data integration as well as DWH data modelling.</li><li>
Experience with advanced reporting and dashboard design, system testing and support to the user acceptance test (UAT).</li><li>
Deep knowledge of BI best of breed tools (Microsoft BI stack in particular: SQL Server, Azure Data Factory, Analysis Services, Power BI).</li><li>
Cloud DWH &amp; Lakehouse: Snowflake, Azure Synapse, PolyBase/ADF Copy performance tuning.</li><li>
Orchestration &amp; CI/CD: Azure DevOps (Repos/Pipelines).</li><li>
BI Governance &amp; Performance: Power BI semantic models, DAX/Calc Groups, RLS, deployment pipelines, Tabular partitioning optimization.</li><li>
Ops &amp; Docs: monitoring/alerting (Azure Monitor/Log Analytics).</li><li>
Expertise in technical training.</li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
Bachelor&rsquo;s degree in engineering or information technology or in any relevant field.</li><li>
06+ years of relevant experience.</li><li>
Very good level of English (C1).</li><li>
French language knowledge will be an advantage.</li></ul><h2 class="jobSectionHeader">
What We Have For You</h2>
Great compensation package, medical benefit for you and your family, free lunch, Bi-annual performance-tied increments &amp; performance recognition awards and a great lean and agile work culture!
Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!</div>

Senior Business Intelligence Engineer

DataQ Healthcare

Job Overview:Apply principles and techniques of engineering, mathematics, and computer science to the design, development, and testing of software applicationsJob Responsibilities&middot; Works well independently; capable of self-motivating and managing.&middot; Determine business requirements, design, and implement complex data models.&middot; Provide technical guidance to juniors and review their work.&middot; Should have capability to communicate cross teams to resolve dependencies.&middot; Accommodate required payor/source data changes in relevant Wiseman data processing algorithms.&middot; Verify the data loading into Wiseman schema.&middot; Check and resolve bugs highlighted in data update process.&middot; Analyse SQL code and develop/alter stored procedures, triggers, and SQL jobs where appropriate.&middot; Review database design and code written by other database and software engineers and assist in optimization.&middot; Collaborate with the application development team and ensure that overall application design is optimal.&middot; Attend regular stand-up meetings, take direction, follow recommendations.&middot; Follow Monthly Data Update process defined by the organization.&middot; Accurately estimate time required to complete projects and tasks.&middot; Meet mutually agreed upon deadlines for completion of modules throughout the data updates process.&middot; Follow Wiseman coding standards, best practices, and processes&middot; Follow the code review process and participate in peer views&middot; Attend daily huddle and manage DevOps only daily basis&middot; During and after your employment you will be responsible for protection and uses of &ldquo;Personal Data&rdquo;, &ldquo;Customer Personal Data&rdquo; &ldquo;Business Contact Data&rdquo;, &ldquo;Privacy Laws&rdquo; &ldquo;Intercompany Agreement&rdquo; &quot;ISMS&quot;, &quot;HIPAA&quot; and any other information relevant to you during terms of employment.&middot;Professional Qualities/SkillsTechnical Skills:&middot; Understanding of the software development lifecycle&middot; High expertise in MS SQL SERVER (2014 or above).&middot; Ability to understand technical issues at a high level.&middot; Working in Agile environments, highly desirable.&middot; Strong knowledge of payor/insurance source data (including Wiseman data processing algorithms)&middot; Adequate knowledge of 360 suiteSoft Skills:&middot; Learning aptitude with high attention to detail.&middot; Multi-tasking in a fast-paced environment.&middot; Good verbal and written communication skills.&middot; Strong analytical and problem-solving skills.&middot; Ability to drive projects from start to finish with minimal supervision.&middot; Able to deliver under tight and short deadlines.Job Type: Full-timeWork Location: In person

Database Developer

PackageX

<div><div>About PackageX</div><div>
PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.</div><div>
Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.</div><div>
We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.</div><div>
What we are looking for</div><div>
We&rsquo;re looking for a hands-on data scientist with experience in building scalable analytics and machine-learning systems, who is fluent in Python (Pandas, NumPy), SQL, and ML/DL frameworks such as TensorFlow, PyTorch or Keras, with practical knowledge of NLP, computer vision and modern modeling techniques. You should be comfortable building backend services and RESTful APIs using Django/Flask, working with Docker and Git/GitHub, and deploying on cloud platforms (AWS/GCP) while using SQL Server, MongoDB or similar DBMS. The role involves designing data models, ETL pipelines and data warehouses, integrating enterprise BI/visualization tools (Tableau, Power BI, Matplotlib/Seaborn), and applying repeatable automation, testing and CI/CD practices. Ideal candidates have experience on distributed engineering teams, can move quickly on bug fixes and enhancements, communicate clearly, bring innovative solutions to tough problems, and have weathered high-pressure projects with lessons learned.</div><div>
</div><div>
You will:</div><ul><li> Build scalable, efficient, and high-performance software around our data analytics platform to help us expand its reporting, analytics &amp; machine learning capabilities.</li><li> Build out frameworks and services for our Machine Learning services, systems, and dashboards.</li><li> Follow coding best practices-Unit testing, design/code reviews, code coverage, documentation, etc.</li><li> Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc</li><li> Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics</li><li> Respond quickly to bug fixes and enhancement requests and be able to take directions and complete tasks on-time with minimal supervision.</li><li> Work with and help implement data models/data schema&rsquo;s for data scientists &amp; data analyst to build visualizations &amp; statistical/predictive models.</li></ul><div></div><div> 
</div><div>
We are looking for someone who has:</div><ul><li> At least 3+ years of experience working as a data scientist</li><li> Expertise in Python, SQL, Pandas, NumPy</li><li> Experience with any machine/deep learning frameworks like Tensorflow, Keras and PyTorch</li><li> Understanding about depth and breadth of computer vision, NLP and deep learning algorithms</li><li> Extensive expertise in Django, Flask</li><li> Worked with Github, Microsoft SQL Server/MongoDB or another DBMS, AWS &amp; GCP</li><li> Been part of a distributed software engineering team</li><li> Experience with RESTful APIs and server-side APIs integration</li><li> Worked with Docker or other containerization software</li><li> Experience with Data Warehousing, ETL Pipelines, large complex data sets, complex SQL queries/NoSQL platforms</li><li> Experience in designing Data Models (Data schema)</li><li> Desire to bring new and innovative solutions to the table to resolve challenging software issues as they may develop throughout the product lifecycle</li><li> Sound knowledge of repeatable automated processes for building, testing, documenting and deploying an application at scale</li><li> Been on at least one &ldquo;death march&rdquo; and know exactly why some things are to be avoided.</li><li> Excellent communication and interpersonal skills, taking the initiative to recommend and develop innovative solutions</li><li> Fluency in Python stack for data processing, visualization, and modeling (Matplotlib/Seaborn)</li><li> Experience Working with AI/Analytics teams</li><li> Worked for visualization development on Enterprise Tools (Tableau, Power BI)</li><li> Worked on integration of Enterprise BI tools</li><li> Understanding of data mining &amp; machine learning concepts</li></ul><div>
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What can you expect from the application process?</div><div>
All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.</div></div>

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