Big Data Engineer
IND-Pune-Equifax Analytics-PTEC
Equifax
Get credit reports and credit scores for businesses and consumers from Equifax today! We also have identity protection tools with daily monitoring and alertsEquifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology.
What you’ll do
Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies.
Work across teams to integrate data from multiple Business Areas in a Centralized Data Repository.
Integrate our systems with existing internal systems, Data Fabric, Corporate Services.
Perform general application development activities, including unit testing, code deployment to development environment and technical documentation.
Develop, and operate high scale applications from the backend to Frontend layer, focusing on operational excellence, security and scalability.
Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.)
Participate in a tight-knit engineering team employing agile software development practices.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality.
Lead effort for Sprint deliverables, and solve problems with medium complexity
What experience you need
Bachelor's degree in Computer Science, Systems Engineering or equivalent experience.
2+ years experience working in Data Engineering using programming languages such as Scala, Java, Python, SQL.
2+ years of experience working with ETL (Extract, Transform, and Load) procedures
2+ years of experience working with Big Data Technologies such as Hadoop, Spark, Hive, Airflow.
1+ years experience with software build management tools like Maven or Gradle.
1+ year of experience with Cloud technology: GCP, AWS, or Azure.
What could set you apart
Data Engineering using GCP Technologies (BigQuery, DataProc, Dataflow, Composer)
Self-starter that identifies/responds to priority shifts with minimal supervision
Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle.
Agile environments (e.g. Scrum, XP)
Relational databases (e.g. SQL Server, Oracle, MySQL)
Atlassian tooling (e.g. JIRA, Confluence, and Github)
We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
IND-Pune-Equifax Analytics-PECIND-Trivandrum-Equifax Analytics-PECFunction:
Function - Tech Dev and Client ServicesSchedule:
Full time* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS Azure Big Data BigQuery CI/CD Computer Science Confluence Dataflow Dataproc Engineering ETL GCP Git GitHub Hadoop Java Jira Maven Microservices MySQL Oracle Python RDBMS Scala Scrum Security Spark SQL Testing
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs