Data Engineer
Virtusa · Bangalore Urban, Karnataka, India
- On site
- Full-time
- $120,000 / year
- Bangalore Urban, Karnataka, India
Job highlights
- Build and maintain data pipelines.
- Utilize Python and GCP services.
- Work with BigQuery and analytical engines.
- Implement ETL/ELT processes.
- Ensure data quality and resolve issues.
About the role
About the Role
Virtusa is seeking a skilled Data Engineer with a strong focus on building and maintaining robust data pipelines. This role involves working with cutting-edge technologies and contributing to data-driven decision-making.
Responsibilities
- Design, develop, and maintain scalable data pipelines.
- Implement ETL/ELT processes to transform and load data.
- Utilize GCP data services, particularly BigQuery, for data management and analysis.
- Ensure data quality and implement validation techniques.
- Collaborate with cross-functional teams to understand data requirements.
- Optimize data structures and queries for performance.
- Work with analytical engines like Apache Pinot and Elasticsearch.
Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative field.
- 3+ years of professional experience in data engineering.
- Proficiency in Python (highly preferred), Java, or Scala.
- Strong experience with analytical engines (Apache Pinot, Elasticsearch).
- Hands-on experience with ETL/ELT tools and concepts.
- Proven experience with Google Cloud Platform (GCP) data services, specifically BigQuery, including loading, querying, and optimization (partitioning, clustering).
- Familiarity with data warehousing and data lake architectures.
- Understanding of data quality principles and experience implementing data validation.
- Experience with version control systems (e.g., Git).
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills.
Key skills/competency
- Data Engineering
- Data Pipelines
- Python
- Google Cloud Platform (GCP)
- BigQuery
- ETL/ELT
- SQL
- Data Warehousing
- Data Lake
- Apache Pinot
Skills & topics
- Data Engineer
- Data Engineering
- Python
- GCP
- BigQuery
- ETL
- ELT
- SQL
- Data Pipelines
- Data Warehousing
- Apache Pinot
- Elasticsearch
- Cloud Data Services
- Data Quality
- Software Engineering
How to get hired
- Tailor your resume: Highlight your Python, GCP, BigQuery, and data pipeline experience.
- Showcase your skills: Quantify your achievements in data engineering projects.
- Prepare for technical questions: Brush up on SQL, ETL/ELT concepts, and GCP services.
- Understand Virtusa's values: Align your responses with their focus on innovation and client success.
- Ask insightful questions: Demonstrate your engagement and technical curiosity.
Technical preparation
Master Python for data manipulation and scripting.,Practice BigQuery SQL and optimization techniques.,Build sample ETL/ELT pipelines in GCP.,Familiarize with Apache Pinot and Elasticsearch.
Behavioral questions
Describe a complex data pipeline challenge.,How do you ensure data quality?,Explain technical concepts to non-technical people.,How do you handle changing data requirements?
Frequently asked questions
- What specific GCP services are most important for this Data Engineer role at Virtusa?
- For this Data Engineer position at Virtusa, strong experience with Google Cloud Platform (GCP) data services is crucial, with a particular emphasis on BigQuery. This includes competencies in loading data into BigQuery using various methods, advanced SQL querying within BigQuery, and understanding BigQuery table optimizations like partitioning and clustering.
- Is Python experience a strict requirement for the Virtusa Data Engineer job?
- While proficiency in at least one programming language commonly used in data engineering (e.g., Python, Java, Scala) is required, Python is highly preferred for this Data Engineer role at Virtusa. Demonstrating strong Python skills will significantly strengthen your application.
- What level of experience is expected for this Data Engineer position at Virtusa?
- Virtusa is looking for candidates with 3+ years of professional experience in data engineering or a similar role. The experience should demonstrate a strong focus on building and maintaining data pipelines and working with relevant technologies.
- What are the key analytical engines mentioned for the Data Engineer role at Virtusa?
- The job description for the Data Engineer role at Virtusa highlights strong experience with analytical engines such as Apache Pinot and Elasticsearch. Familiarity and hands-on experience with these engines are important qualifications for this position.
- How important are data warehousing and data lake concepts for this Data Engineer job?
- Familiarity with data warehousing concepts and experience with data lake architectures are important for this Data Engineer role at Virtusa. Understanding these architectures is key to designing and managing efficient data solutions.