Data Axle
https://data-axle.com/About
Data Axle is a product company that offers various data and technology solutions, including software-as-a-service (SaaS) and data-as-a-service (DaaS). These solutions help businesses manage and leverage data for marketing, sales, and business intelligence.
They are data-driven marketing solutions provider that helps clients with clean data, lead generation, strategy development, campaign design, and day-to-day execution needs. It solves the problem of inaccurate and incomplete data, enabling businesses to make informed decisions and drive growth. Data Axle operates in various industries, including healthcare, finance, retail, and technology.
About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global center of excellence in Pune. This center delivers mission
critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases.
Data Axle India is recognized as a Great Place to Work!
This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive.
Tech stack
Python
Django
Flask
React.js
AngularJS (1.x)
Amazon Web Services (AWS)Candid answers by the company
Data Axle is a product company which offers various data and technology solutions, including software-as-a-service (SaaS) and data-as-a-service (DaaS).
They helps clients create a foundation of clean data, find new leads, develop winning strategies and design beautiful campaigns.
Company social profiles
Jobs at Data Axle
PHP
HTML/CSS
Java
jQueryKey Responsibilities
- Develop and maintain custom WordPress themes, plugins, and APIs using PHP, MySQL, HTML, CSS, jQuery, and JavaScript.
- Build and optimize REST APIs and integrate with third-party services.
- Ensure high performance, scalability, and security of WordPress applications.
- Collaborate with Product Managers, UI/UX Designers, QA, and DevOps to deliver high-quality solutions.
- Write clean, testable, and maintainable code following best practices.
- Troubleshoot and resolve WordPress-related technical issues.
- Stay updated on WordPress and web technology trends.
Required Skills & Experience
- 7+ years of experience in PHP and WordPress development.
- Strong expertise in custom theme and plugin development.
- Proficiency in JavaScript, jQuery, AJAX, HTML5, and CSS3.
- Solid experience with MySQL and database optimization.
- Hands-on experience with Git and Agile methodologies.
- Knowledge of WordPress security best practices, SEO, and performance tuning.
- Familiarity with CI/CD pipelines, Docker, and cloud platforms (AWS/GCP) is a plus.
- Experience with multisite or headless WordPress is an advantage.
- Experience with Laravel, Symfony, Yii, and other PHP-based frameworks is a plus.
Nice to have
- Cloudflare Workers (Wrangler, KV/R2, Durable Objects)
- Salesforce OAuth/API experience; HubSpot Forms event hooks; middleware patterns.
- AWS basic understanding
- Cloudflare basic understanding
- Uptime/transaction monitoring via Checkly or other automated systems.
- Entry-level DevOps/networking understanding: HTTP/TLS, CORS, DNS, proxies, caching, request/response debugging (HAR).
Qualifications
- Associate or bachelor’s degree preferred (Computer Science, Engineering, etc.), but equivalent work experience in a technology-related area may substitute.
- Proven track record in building and maintaining large-scale WordPress platforms.
PythonAmazon Web Services (AWS)• Data Pipeline Development: Design and implement scalable data pipelines using PySpark and Databricks on AWS cloud infrastructure
• ETL/ELT Operations: Extract, transform, and load data from various sources using Python, SQL, and PySpark for batch and streaming data processing
• Databricks Platform Management: Develop and maintain data workflows, notebooks, and clusters in Databricks environment for efficient data processing
• AWS Cloud Services: Utilize AWS services including S3, Glue, EMR, Redshift, Kinesis, and Lambda for comprehensive data solutions
• Data Transformation: Write efficient PySpark scripts and SQL queries to process large-scale datasets and implement complex business logic
• Data Quality & Monitoring: Implement data validation, quality checks, and monitoring solutions to ensure data integrity across pipelines
• Collaboration: Work closely with data scientists, analysts, and other engineering teams to support analytics and machine learning initiatives
• Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and resource utilization in Databricks and AWS environments
Required Qualifications:
• Experience: 3+ years of hands-on experience in data engineering, ETL development, or related field
• PySpark Expertise: Strong proficiency in PySpark for large-scale data processing and transformations
• Python Programming: Solid Python programming skills with experience in data manipulation libraries (pandas etc)
• SQL Proficiency: Advanced SQL skills including complex queries, window functions, and performance optimization
• Databricks Experience: Hands-on experience with Databricks platform, including notebook development, cluster management, and job scheduling
• AWS Cloud Services: Working knowledge of core AWS services (S3, Glue, EMR, Redshift, IAM, Lambda)
• Data Modeling: Understanding of dimensional modeling, data warehousing concepts, and ETL best practices
• Version Control: Experience with Git and collaborative development workflows
Preferred Qualifications:
• Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field
• Advanced AWS: Experience with additional AWS services like Athena, QuickSight, Step Functions, and CloudWatch
• Data Formats: Experience working with various data formats (JSON, Parquet, Avro, Delta Lake)
• Containerization: Basic knowledge of Docker and container orchestration
• Agile Methodology: Experience working in Agile/Scrum development environments
• Business Intelligence Tools: Exposure to BI tools like Tableau, Power BI, or Databricks SQL Analytics
Technical Skills Summary:
Core Technologies:
- PySpark & Spark SQL
- Python (pandas, boto3)
- SQL (PostgreSQL, MySQL, Redshift)
- Databricks (notebooks, clusters, jobs, Delta Lake)
AWS Services:
- S3, Glue, EMR, Redshift
- Lambda, Athena
- IAM, CloudWatch
Development Tools:
- Git/GitHub
- CI/CD pipelines, Docker
- Linux/Unix command line
Machine Learning (ML)PythonAbout Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.
Data Axle Pune is pleased to have achieved certification as a Great Place to Work!
Roles & Responsibilities:
We are looking for a Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.
We are looking for a Senior Data Scientist who will be responsible for:
- Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
- Design or enhance ML workflows for data ingestion, model design, model inference and scoring
- Oversight on team project execution and delivery
- If senior, establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
- Visualize and publish model performance results and insights to internal and external audiences
Qualifications:
- Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
- Minimum of 3.5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
- Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
- Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
- Proficiency in Python and SQL required; PySpark/Spark experience a plus
- Ability to conduct a productive peer review and proper code structure in Github
- Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
- Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.
It is not intended to be a complete list of assigned duties but to describe a position level.
C++
Docker
KubernetesAmazon Web Services (AWS)We are looking for a Senior Software Engineer to join our team and contribute to key business functions. The ideal candidate will bring relevant experience, strong problem-solving skills, and a collaborative
mindset.
Responsibilities:
- Design, build, and maintain high-performance systems using modern C++
- Architect and implement containerized services using Docker, with orchestration via Kubernetes or ECS
- Build, monitor, and maintain data ingestion, transformation, and enrichment pipelines
- Deep understanding of cloud platforms (preferably AWS) and hands-on experience in deploying and
- managing applications in the cloud.
- Implement and maintain modern CI/CD pipelines, ensuring seamless integration, testing, and delivery
- Participate in system design, peer code reviews, and performance tuning
Qualifications:
- 5+ years of software development experience, with strong command over modern C++
- Deep understanding of cloud platforms (preferably AWS) and hands-on experience in deploying and managing applications in the cloud.
- Apache Airflow for orchestrating complex data workflows.
- EKS (Elastic Kubernetes Service) for managing containerized workloads.
- Proven expertise in designing and managing robust data pipelines & Microservices.
- Proficient in building and scaling data processing workflows and working with structured/unstructured data
- Strong hands-on experience with Docker, container orchestration, and microservices architecture
- Working knowledge of CI/CD practices, Git, and build/release tools
- Strong problem-solving, debugging, and cross-functional collaboration skills
This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level.
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