Python
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ScalaAbout Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 45 years in the USA. Data Axle has set up a 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 & consumer databases. Data Axle is headquartered in Dallas, TX, USA.
Roles and Responsibilities:
- Design, implement, and manage scalable analytical data infrastructure, enabling efficient access to large datasets and high-performance computing on Google Cloud Platform (GCP).
- Develop and optimize data pipelines using GCP-native services like BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Data Fusion, and Cloud Storage.
- Work with diverse data sources to extract, transform, and load data into enterprise-grade data lakes and warehouses, ensuring high availability and reliability.
- Implement and maintain real-time data streaming solutions using Pub/Sub, Dataflow, and Kafka.
- Research and integrate the latest big data and visualization technologies to enhance analytics capabilities and improve efficiency.
- Collaborate with cross-functional teams to implement machine learning models and AI-driven analytics solutions using Vertex AI and BigQuery ML.
- Continuously improve existing data architectures to support scalability, performance optimization, and cost efficiency.
- Enhance data security and governance by implementing industry best practices for access control, encryption, and compliance.
- Automate and optimize data workflows to simplify reporting, dashboarding, and self-service analytics using Looker and Data Studio.
Basic Qualifications
- 7+ years of experience in data engineering, software development, business intelligence, or data science, with expertise in large-scale data processing and analytics.
- Strong proficiency in SQL and experience with BigQuery for data warehousing.
- Hands-on experience in designing and developing ETL/ELT pipelines using GCP services (Cloud Composer, Dataflow, Dataproc, Data Fusion, or Apache Airflow).
- Expertise in distributed computing and big data processing frameworks, such as Apache Spark, Hadoop, or Flink, particularly within Dataproc and Dataflow environments.
- Experience with business intelligence and data visualization tools, such as Looker, Tableau, or Power BI.
- Knowledge of data governance, security best practices, and compliance requirements in cloud environments.
Preferred Qualifications:
- Degree/Diploma in Computer Science, Engineering, Mathematics, or a related technical field.
- Experience working with GCP big data technologies, including BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud SQL.
- Hands-on experience with real-time data processing frameworks, including Kafka and Apache Beam.
- Proficiency in Python, Java, or Scala for data engineering and pipeline development.
- Familiarity with DevOps best practices, CI/CD pipelines, Terraform, and infrastructure-as-code for managing GCP resources.
- Experience integrating AI/ML models into data workflows, leveraging BigQuery ML, Vertex AI, or TensorFlow.
- Understanding of Agile methodologies, software development life cycle (SDLC), and cloud cost optimization strategies.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Data Axle
About
Data Axle is a 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 helps clients create a foundation of clean data, find new leads, develop winning strategies, design beautiful campaigns, and can handle all day-to-day execution needs.
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