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85 Equifax Jobs
Java Data Engineer
4-8 years
Thiruvananthapuram
1 vacancy
Java Data Engineer
Equifax
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
What You Will Do:
- Design and Build Data Pipelines: Develop and maintain robust data pipelines using Apache Beam in Java and Apache Spark to process large datasets efficiently across Google Cloud Platform (GCP).
- Data Integration: Collaborate with data scientists, analysts, and other stakeholders to design data integration solutions for various business needs, ensuring data quality and reliability.
- Cloud Infrastructure Management: Utilize GCP services like DataProc, BigQuery, and Cloud Storage to manage cloud-based data processing and storage solutions.
- Performance Tuning: Identify and optimize performance bottlenecks in data processing workflows, ensuring high efficiency and low latency in pipeline execution.
- Monitoring and Maintenance: Establish monitoring, logging, and alerting mechanisms for data pipelines to ensure operational excellence.
- Documentation: Create technical documentation outlining data flows, architecture design, and maintenance procedures for future reference.
- Stay Current with Technologies: Keep abreast of the latest developments in data engineering tools and technologies, particularly within the GCP ecosystem, to continuously improve processes and solutions.
What Experience You Need:
- Educational Background: Bachelor s degree in Computer Science, Engineering, or a related technical field.
- Experience with GCP: 4-8 years of experience working with Google Cloud Platform services, particularly in data processing and analytics.
- Apache Beam In Java: Demonstrated expertise in building ETL processes using Apache Beam in Java.
- Spark and DataProc: Hands-on experience with Apache Spark, including optimizing jobs in DataProc for performance and efficiency.
- SQL Proficiency: Strong skills in Hive SQL and familiarity with data warehousing concepts, along with experience in writing complex queries for data manipulation and analysis.
- Data Loading and Transformation: Experience in managing and transforming large data sets, and knowledge of data storage solutions and frameworks.
- CI/CD Practices: Familiarity with version control tools (like Git) and CI/CD methodologies for code deployment.
- What Could Set You Apart:
- Strong Programming Skills: Proficiency in additional programming languages (Python, Scala, etc.) and frameworks that support data engineering tasks.
- Big Data Technologies: Experience with other big data frameworks or tools (e.g., Hadoop, Kafka, Airflow) that complement data engineering efforts.
- Cloud Certifications: Relevant GCP certifications (e.g., Google Cloud Professional Data Engineer) that demonstrate your commitment and expertise in the field.
- Architectural Knowledge: Understanding of data architecture principles, including data lakes, data warehousing, and the concepts of batch and stream processing.
- Active Participation in the Community: Contributions to open-source projects, speaking engagements at conferences, or involvement in data engineering forums can enhance your profile.
- Business Acumen: Ability to translate technical requirements into actionable business solutions and insights.
Primary Location:
IND-Trivandrum-Equifax Analytics-PEC Function:
Function - Tech Dev and Client Services Schedule:
Full time Employment Type: Full Time, Permanent
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Top Equifax Data Engineer Interview Questions
Q2. what is diff cloud formation vs terraform, release management like blue green etc.
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What people at Equifax are saying
Data Engineer salary at Equifax
reported by
7
employees
with 2-7
years exp.
₹6.7
L/yr - ₹13.5
L/yr
19%
less
than the average Data Engineer Salary in India
View more details
What Equifax employees are saying about work life
based on 204 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Equifax Benefits
View more benefits
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