pyspark developer

Information Technology Senior Management Forum

<div><div>Posted Date
5/08/2026
</div><div>Description
<div>The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. 
 
Responsibilities:<ul><li>
Senior Business Intelligence Analyst is responsible for Tableau Advanced Dashboard and Report design development using Tableau including data visualization, charts, graphs, data migration, ad-hoc reporting, and data validation.</li><li>
The position involves advanced data manipulation and analysis using complex SQL queries.</li><li>
It also requires the development of Python and Pyspark scripts to automate data processes and perform advanced analytics.</li><li>
Capabilities working Artificial intelligence (AI) - Devin and Stylus, Python, SQL</li><li>
Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements</li><li>
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards</li><li>
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint</li><li>
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation</li><li>
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals</li><li>
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions</li><li>
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul>
Recommended Qualifications:<ul><li>
6-10 years of Experience in Tableau advanced concepts must have strong experience in and Tableau development in reports, dashboards, and documents.</li><li>
5+ Years Python and Pyspark scripts to automate data processes and perform advanced analytics.</li><li>
6+ Years of experience complex SQL queries</li><li>
Adapting Artificial Intelligence Devin, Stylus</li><li>
Working at Starburst /Druid AI</li><li>
Demonstrated leadership and project management skills</li><li>
Consistently demonstrates clear and concise written and verbal communication</li></ul> 
Education:<ul><li>
Bachelor&rsquo;s degree/University degree or equivalent experience</li><li>
Master&rsquo;s degree preferred</li></ul> 
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
-<h4 class="jobSectionHeader">
Job Family Group:
</h4>Technology
-<h4 class="jobSectionHeader">
Job Family:</h4>
Applications Development
-<h4 class="jobSectionHeader">
Time Type:</h4>
Full time
-<h4 class="jobSectionHeader">
Primary Location:</h4>
Tampa Florida United States
-<h4 class="jobSectionHeader">
Primary Location Full Time Salary Range:</h4>
$113,840.00 - $170,760.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-<h4 class="jobSectionHeader">
Most Relevant Skills
</h4>Please see the requirements listed above.
-<h4 class="jobSectionHeader">
Other Relevant Skills
</h4>For complementary skills, please see above and/or contact the recruiter.
-<h4 class="jobSectionHeader">
Anticipated Posting Close Date:</h4>
May 12, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
113,840.00 - 170,760.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Senior Tableau Developer Data Engineer Vice President

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Key Responsibilities:
<ul><li>Design, develop, and maintain end-to-end data pipelines using Azure Databricks</li>
<li>Implement scalable ETL/ELT solutions using PySpark</li>
<li>Optimize Spark jobs for performance and reliability</li>
<li>Work with large-scale structured and semi-structured datasets</li>
<li>Develop and maintain SQL-based data models for analytics and reporting</li>
<li>Collaborate with data scientists, analysts, and business stakeholders</li>
<li>Ensure data quality, governance, and security best practices</li>
<li>Participate in code reviews, troubleshooting, and performance tuning</li>
<li>Support deployment and orchestration using Azure-native services</li>
</ul></div></div></div></div><div><div><div>Location</div>
<div>Hyderabad</div>
</div><div><div>Job Function</div>
<div>TECHNOLOGY</div>
</div><div><div>Role</div>
<div>Developer</div>
</div><div><div>Job Id</div>
<div>409850</div>
</div><div><div>Desired Skills</div>
<div>Python | Spark | SQL | Cloud Azure</div>
</div></div>Desired Candidate Profile
<div><div>Qualifications : BACHELOR OF ENGINEERING</div></div></div><div></div>

Azure with Data Bricks, SQL, PySpark, Python

Oscar

<div>
 
 
 Cairo, Egypt (Hybrid - 4 days onsite)
 
 
 
 
 650,000 EGP - 1,400,000 EGP base salary (DOE)
 
 
 
 
 Full-time | Permanent
 
 
 
 
 ( + Transportation Allowance + Strong benefits package)
 
 
 
 
 
 
 
 
 About the Company
 
 
 
 
 
 
 
 We have partnered with a large, internationally recognised manufacturing, distribution, and sales organisation operating across multiple global markets. With a strong focus on digital transformation, data-driven decision making, and modern cloud platforms, they are investing heavily in enterprise analytics, reporting, and scalable data solutions that support both operational and strategic outcomes.
 
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 
 The organisation is seeking an experienced
 
 Senior Azure Data Engineer / Developer
 
 to join its Digital &amp; Technology function, working closely with BI and Reporting teams. This role plays a critical part in designing, building, and optimising Azure-based data pipelines and analytical solutions that serve as a single source of truth for enterprise and operational reporting.
 
 
 The successful candidate will collaborate with business stakeholders, analysts, and engineers to integrate and transform data from multiple systems into high-quality, trusted datasets that power Power BI dashboards and analytics products.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 ETL pipelines
 
 using
 
 Azure Data Factory
 
 </li>
 <li>
 Ingest and transform data from multiple source systems into
 
 Azure Data Lake Storage
 
 and
 
 Azure SQL
 
 </li>
 <li>
 Work with large-scale datasets (terabytes of data, partitioned tables, high-volume files)
 </li>
 <li>
 Build and optimise data solutions using
 
 Databricks, Spark, Hive
 
 , and
 
 PySpark
 
 </li>
 <li>
 Ensure data quality, integrity, availability, and performance across reporting layers
 </li>
 <li>
 Support BI teams by delivering certified datasets for
 
 Power BI
 
 consumption
 </li>
 <li>
 Collaborate with data scientists, analysts, and platform teams on data requirements
 </li>
 <li>
 Contribute to cloud best practices, DevOps processes, and CI/CD pipelines
 </li>
 <li>
 Mentor junior team members and contribute to technical decision-making (senior level)
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related discipline (or 7+ years of equivalent hands-on experience in a technical data-focused role)
 </li>
 <li>
 3&ndash;5+ years of hands-on experience working with Azure Data Factory and Azure Data Lake Storage in production environments
 </li>
 <li>
 Proven experience delivering data solutions at scale, working with large and complex datasets (terabytes of data, partitioned tables, high-volume files)
 </li>
 <li>
 Strong hands-on experience with Power BI, including DAX and Power Query M
 </li>
 <li>
 Solid experience with Azure SQL Database and advanced T-SQL
 </li>
 <li>
 Practical experience with Databricks, Spark, Hive, and PySpark for big data processing
 </li>
 <li>
 Strong programming skills in Python, C#, .NET, Scala, or Java
 </li>
 <li>
 Experience working with cloud platforms, preferably Microsoft Azure (experience with AWS or GCP is a plus)
 </li>
 <li>
 Good understanding of DevOps principles and experience working with CI/CD pipelines
 </li>
 <li>
 Demonstrated ability to collaborate with business and technical stakeholders to translate requirements into scalable data solutions
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Professional working proficiency in English
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with
 
 DevSecOps
 
 practices
 </li>
 <li>
 Exposure to
 
 SAFE / Agile
 
 delivery environments
 </li>
 <li>
 Knowledge of
 
 SAP BW
 
 or enterprise ERP data sources
 </li>
 <li>
 Previous leadership or mentoring experience
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s on Offer
 
 
 <ul>
 <li>
 Competitive salary:
 
 650,000 EGP - 1,400,000 EGP
 
 , depending on experience
 </li>
 <li>
 
 Hybrid working model
 
 (4 days onsite in Cairo)
 </li>
 <li>
 Private healthcare, annual bonus plus more benefits
 </li>
 <li>
 Transportation / Car Allowance
 </li>
 <li>
 Long-term career growth in a stable, well-funded organisation
 </li>
 </ul>
 
 
</div>

Azure Data Engineer / Developer

Ai Vantage

Key Responsibilities<ul><li>Design, develop, and maintain robust ETL/ELT data pipelines using Python and AWS services</li><li>Build and optimize data lakes, data warehouses, and data marts on AWS</li><li>Ingest, transform, and process structured and unstructured data from multiple sources</li><li>Ensure data quality, integrity, security, and compliance with federal standards</li><li>Collaborate with data scientists, analysts, and application teams to support analytics and reporting</li><li>Optimize performance, cost, and scalability of data workflows in AWS</li><li>Implement data governance, metadata management, and logging/monitoring practices</li><li>Support documentation, data models, and technical design artifacts</li><li>Troubleshoot production issues and support ongoing enhancements</li></ul>Required Qualifications<ul><li>5+ years of hands-on experience as a Data Engineer or similar role</li><li>Strong proficiency in Python for data processing and automation</li><li>Extensive experience with AWS, including services such as:</li><li>S3, EC2, Lambda</li><li>Glue, Athena, Redshift</li><li>EMR, CloudWatch (preferred)</li><li>Solid understanding of SQL and relational/non-relational databases</li><li>Experience building batch and/or streaming data pipelines</li><li>Familiarity with CI/CD pipelines, version control (Git), and DevOps practices</li><li>Experience working in federal or regulated environments</li></ul>Preferred Qualifications<ul><li>US Census Clearance (active or previously held)</li><li>Experience with big data technologies (Spark, PySpark, Hadoop)</li><li>Knowledge of data security, encryption, and access controls in AWS</li><li>Exposure to data orchestration tools (Airflow, Step Functions, etc.)</li><li>Experience supporting analytics, BI, or AI/ML workloads</li></ul>Nice to Have<ul><li>AWS Certification (Data Analytics, Solutions Architect, or Developer)</li><li>Experience with Terraform or CloudFormation</li><li>Familiarity with federal data standards and compliance frameworks</li></ul>Job Types: Full-time, ContractPay: $95,000.00 - $110,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Relocation assistance</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Python: 3 years (Required)</li><li>R: 3 years (Required)</li><li>SQL: 3 years (Required)</li><li>ETL: 3 years (Required)</li><li>AWS: 3 years (Required)</li><li>Redshift: 3 years (Required)</li></ul>Work Location: Hybrid remote in Vienna, VA 22182

Data Engineer- Local

Coforge

<div>
 
 
 JOB DETAILS:
 
 
 
 
 
 <ul>
 <li>
 
 Role: Lead Data Engineer
 
 </li>
 <li>
 
 Skills: Snowflake/Snowpipe, SQL, Python/PySpark, Kafka, Azure, ADLS, ADF, Data Vault, Databricks, Streaming
 
 </li>
 <li>
 
 Experience: 10+years
 
 </li>
 <li>
 
 Location: Chicago, IL (Onsite Job)
 
 </li>
 </ul>
 
 
 
 
 We at Coforge are seeking an experienced
 
 Lead Data Engineer
 
 someone with strong experience in
 
 
 Snowflake/Snowpipe, SQL, Python/PySpark, Data Modeling, Data Vault, Kafka and Development of Azure based data platforms, experience in query optimization.
 
 
 
 
 <ul>
 <li>
 Snowflake/Snowpipe, SQL, Python/PySpark
 </li>
 <li>
 Data Modeling, Data Engineering with Modeling Techniques - hands on experience
 </li>
 <li>
 Must have
 
 Data Vault
 
 experience and Real implementation experience
 </li>
 <li>
 Kafka-based streaming, EventHub
 </li>
 <li>
 Lead development of Azure-based data platforms, including ADLS, ADF, Databricks, and CI/CD automation.
 </li>
 <li>
 Streaming
 </li>
 <li>
 Triggers/Task
 </li>
 <li>
 Difference b/w virtual warehouse and serverless compute
 </li>
 <li>
 Why DBT compared to others
 </li>
 <li>
 experience in query optimization
 </li>
 </ul>
 
 
</div>

Senior Data Engineer

Sloan

<div>
 
 Req ID: 11916
 
 
 
 JOIN AN INDUSTRY LEADER! Quality First &amp; Green Always
 
 
 
 Sloan is the world&rsquo;s leading manufacturer of commercial plumbing systems and has been in operation since 1906. We are at the forefront of the green building movement and provide sustainable restroom solutions. We manufacture water- efficient products including flush valves, electronic faucets, soap dispensing and sink systems along with vitreous china fixtures for commercial, industrial and institutional markets worldwide.
 
 
 
 
 
 
 
 
 About the role:
 
 
 
 
 
 
 
 
 The Databricks Developer is located at our Franklin Park, IL office and reports to the Director of Enterprise Applications and Data Analytics in Information Technology. The Databricks Developer will build and modernize cloud-based data platforms using Databricks. This role requires strong expertise in data migration, ELT processes, data security, SQL, and Apache Spark, with experience across AWS, Azure, and GCP. The position supports data integration, analytics, and visualization initiatives, partnering with technical and business stakeholders to deliver scalable, value-driven solutions. The ideal candidate is highly analytical, detail-oriented, and an effective communicator who can lead initiatives, prioritize tasks, and contribute to high-performing teams.
 
 
 
 
 
 
 
 
 What you will do:
 
 
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data pipelines and ELT/ETL workflows using Databricks and Apache Spark (PySpark/Spark SQL)
 </li>
 <li>
 Build and optimize lakehouse architectures using Delta Lake and related data formats (e.g., Parquet, Iceberg)
 </li>
 <li>
 Develop production-grade data workflows using Databricks Workflows and/or Declarative Pipelines
 </li>
 <li>
 Implement data governance, security, and access controls using Unity Catalog and related frameworks
 </li>
 <li>
 Support data migration and modernization initiatives from legacy data warehouse systems to cloud-based architectures
 </li>
 <li>
 Apply medallion architecture principles (bronze, silver, gold layers) in solution design
 </li>
 <li>
 Implement CI/CD pipelines and infrastructure-as-code for Databricks environments (e.g., Terraform, Databricks Asset Bundles, GitHub Actions)
 </li>
 <li>
 Monitor, troubleshoot, and resolve production data pipeline issues to ensure reliability and performance
 </li>
 <li>
 Collaborate with stakeholders to gather requirements and translate them into scalable data solutions
 </li>
 <li>
 Participate in code reviews, testing, documentation, and deployment activities
 </li>
 <li>
 Contribute to continuous improvement of data engineering standards, tools, and best practices
 </li>
 <li>
 Provide technical support during solution implementation and stabilization phases
 </li>
 <li>
 Other duties and responsibilities as required.
 </li>
 </ul>
 
 
 
 
 What you will need:
 
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Engineering, Information Technology, Computer Science, or a related field from an accredited college or university.
 </li>
 <li>
 4+ Years Focused on the Databricks platform Strong proficiency in Apache Spark (PySpark and/or Spark SQL)
 </li>
 <li>
 5+ Years Data engineering experience
 </li>
 <li>
 Ability to prioritize tasks, delegate responsibilities, and develop high-performing teams in a customer-focused, collaborative environment.
 </li>
 <li>
 Excellent verbal and written communication skills, with the ability to collaborate effectively across multiple levels of responsibility and leadership.
 </li>
 <li>
 Experience designing and implementing solutions on AWS, Azure, or GCP, along with strong hands-on skills in SQL and Apache Spark.
 </li>
 <li>
 Experience facilitating technical workshops with both technical and business stakeholders to identify opportunities and deliver value-driven solutions is highly desirable.
 </li>
 <li>
 Hands-on expertise in data security, messaging patterns, ELT processes, data wrangling, and cloud computing. Proficiency in data integration/EAI, database technologies, advanced analytics tools, programming languages, and visualization platforms.
 </li>
 <li>
 Highly analytical, detail-oriented, and self-motivated, with a strong sense of urgency. Quick learner who continuously builds technical expertise to support the deployment and integration of Databricks-based solutions for customer projects.
 </li>
 <li>
 Proven experience leading cloud modernization, data migration, and data warehousing initiatives using cloud-based platforms such as Databricks.
 </li>
 </ul>
 
 
 
 
 A plus, but not required:
 
 
 
 
 
 
 
 <ul>
 <li>
 Databricks certification preferred
 </li>
 <li>
 Expertise in Business Analytics design and development, along with familiarity with best-in-class systems and tools used for platform solutions.
 </li>
 <li>
 Solid, practical, hands-on understanding of a business area as well as an overall understanding of company systems and business processes.
 </li>
 <li>
 Strong skills in effective communications, change enablement, and business process redesign.
 </li>
 </ul>
 
 
 
 
 
 Why you&rsquo;ll love working here:
 
 
 
 
 
 
 
 
 
 
 Inclusive Culture:
 
 YOU Belong at Sloan
 
 
 At Sloan, we are committed to fostering an inclusive and diverse workplace where diverse backgrounds and perspectives are embraced and celebrated. We proudly offer equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, age, genetic information, marital status, political affiliation, veteran status, or any other characteristic protected by law.
 
 
 
 Growth Opportunities
 
 : We invest in our employees&rsquo; professional development with ongoing training and career advancement opportunities.
 
 
 
 Innovative Projects
 
 : Be part of exciting projects that push the boundaries of technology and have make a real difference in the world.
 
 
 
 
 
 
 
 
 
 Compensation:
 
 
 
 
 The compensation range for this U.S.-based position is $134,910-$149,900 annually.
 
 
 
 This position is eligible to participate in the company incentive plan. The terms and conditions of the company incentive plan will be provided to plan participants on an annual basis.
 
 
 Our compensation range reflects our good faith estimate of what an ideal candidate can expect, but final agreed upon compensation will always be based on the individual candidate&rsquo;s experience, skills, qualifications, and other job-related or market factors that may prove relevant during the hiring process.
 
 
 
 
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 Comprehensive Health Coverage: Medical (including prescription coverage), Dental, and Vision Insurance, effective the first of the month following your hire date.
 </li>
 <li>
 Health Savings Account (HSA): With company contributions for most medical plan options.
 </li>
 <li>
 Financial Security: Basic Life, Basic Accidental Death and Dismemberment, Short-term Disability, Long-term Disability, and Accident Insurance.
 </li>
 <li>
 Additional Protection: Optional Life, Critical Illness, Hospital Indemnity, Legal, Pet Insurance, and Identity Theft Protection.
 </li>
 <li>
 Convenient Commuter Benefits: Save on your daily commute.
 </li>
 <li>
 Flexible Spending Accounts: Dependent Care FSA to help manage your expenses.
 </li>
 <li>
 Wellness Support: Employee Assistance Plan and Wellness Programs to keep you healthy and happy.
 </li>
 <li>
 Retirement Savings: 401(k) Retirement Savings Plan with a company match and immediate vesting.
 </li>
 <li>
 Generous Time Off: Paid Holidays, Volunteer Time Off, Paid Time Off, Sick Leave, Military Leave, Parental Leave, Bereavement Leave, and other paid or unpaid state/local leaves where required.
 </li>
 <li>
 Work-Life Balance: Hybrid Work Program to support your flexibility.
 </li>
 <li>
 Employee Referral Program: Earn rewards for referring great talent.
 </li>
 <li>
 Professional Development: Tuition Reimbursement Program to help you grow your skills.
 </li>
 <li>
 Community and Networking: Join our Employee Business Groups and connect with colleagues.
 </li>
 </ul>
 
 
 
 
 We Are Proud Partners With the Chicago Cubs
 
 
 We are a Legacy Partner of the Chicago Cubs and we are proud to be the organization&rsquo;s official water efficiency partner! Through this relationship, which includes the naming rights to Sloan Park, the Cubs&rsquo; Spring Training facility in Mesa, Arizona, we have had the opportunity to promote our brand and continue our water conservation efforts in the city of Chicago and around the world.
 
 
 
 
 JOIN AN INDUSTRY LEADER!
 
 
 
 
 
 For additional company information please visit our website at www.sloan.com.
 
 
 
 
 We Are An Equal Opportunity Employer.
 
 
</div>

Data Engineer

Tamara

<div>About Us

Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.

Tamara is Saudi Arabia&rsquo;s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.

Your Role

We are looking for a Senior Machine Learning Engineer (MLE) to join our Risk Data Science team. You will play a key role in designing, building, deploying, and scaling ML models that drive credit risk, fraud prevention, behavioral scoring, and other risk-related decision systems across our business.

You will work closely with data scientists, risk analysts, and engineering teams to transform research prototypes into high-performance, production-grade solutions that operate at scale in real-time decisioning environments.

Your Responsibilities

Model Deployment &amp; Scaling 
<ul>
<li>Productionise risk and fraud models developed by the DS team using robust, efficient, and maintainable architectures</li>
<li>Design low-latency, high-availability APIs and pipelines for real-time model inference.</li>
<li>Implement batch scoring systems for periodic risk assessments.=</li>
</ul>
MLOps &amp; Infrastructure
<ul>
<li>Build and maintain CI/CD pipelines for model deployment and monitoring.</li>
<li>Set up automated feature engineering pipelines, leveraging feature stores.</li>
<li>Ensure model governance: reproducibility, versioning, auditability, and compliance with regulatory requirements.</li>
</ul>
Model Monitoring &amp; Maintenance
<ul>
<li>Implement real-time and batch monitoring for data drift, concept drift, and model performance.</li>
<li>Build automated retraining workflows and model rollback mechanisms.</li>
</ul>
Collaboration with Risk DS
<ul>
<li>Work closely with risk data scientists to translate experimental code (Python, notebooks) into production-grade services.</li>
<li>Advise DS on efficient model architectures for operational environments.</li>
<li>Optimize feature computation for speed and scalability.</li>
</ul>
System Design &amp; Integration
<ul>
<li>Integrate models with credit underwriting, fraud detection, collections, and merchant risk systems.</li>
<li>Collaborate with backend engineering to align on API contracts and system interfaces.</li>
</ul>
Your Expertise
<ul>
<li>6+ years of experience as an MLE, ML Engineer, Mlops Developer.</li>
<li>Strong Python skills (including Pandas, NumPy, scikit-learn, PySpark, FastAPI/Flask).</li>
<li>Proficiency in distributed computing frameworks (Spark, Ray) and workflow orchestration tools (Airflow, Prefect).</li>
<li>Experience with MLOps tools (MLflow, SageMaker, Vertex AI, or similar).</li>
<li>Strong understanding of model deployment in cloud environments (AWS/GCP/Azure).</li>
<li>Solid knowledge of microservice architecture, containerization (Docker), and orchestration (Kubernetes).</li>
<li>Proven track record of deploying and maintaining ML models in production at scale.</li>
<li>Experience in building and integrating with real-time streaming systems (Kafka, Kinesis, Pub/Sub).</li>
</ul>
All qualified individuals are encouraged to apply.</div>

Machine Learning Engineer

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