Impetus
Website:
impetus.com
Company:
https://www.linkedin.com/company/impetus
Seniority: Not Applicable
Industries: IT Services and IT Consulting, Software Development, and Computer Networking Products
Job details:
Job Summary
We are looking for skilled GCP Data Engineers with 6–9 years of hands-on experience in building scalable, high-performance data solutions. The ideal candidate will have strong expertise in Java-based big data processing frameworks and deep exposure to Google Cloud Platform (GCP) services for modern data engineering workloads.
Key Skills & Experience
- Strong programming expertise in Java, with experience in building distributed data processing applications
- Hands-on experience with Big Data technologies such as Apache Spark (Java/Scala APIs), Hadoop, and Hive
- Experience with Spark (DataFrame/Spark SQL) using Java or Scala (PySpark knowledge is a plus but not primary)
- Solid understanding of data structures, algorithms, and object-oriented programming in Java
- Strong knowledge of SQL, data modeling, and data warehousing concepts
- Experience working with Linux/Unix environments and scripting (Bash or similar)
- Proven analytical and problem-solving skills, especially in debugging and optimizing data pipelines
- Ability to design and build scalable, fault-tolerant data processing systems
Important To Have
- Hands-on experience with GCP services such as BigQuery, Dataflow (Apache Beam with Java), Dataproc, Cloud Storage, Pub/Sub, and IAM
- Experience with workflow orchestration tools like Airflow or Cloud Composer
- Exposure to cloud migration projects, especially transitioning from on-premise Hadoop ecosystems to GCP
- Familiarity with streaming data pipelines using Pub/Sub and Dataflow
- Understanding of CI/CD pipelines and DevOps practices in a cloud environment
Roles & Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Java-based big data frameworks on GCP
- Build and optimize batch and streaming data processing solutions using Dataproc, Dataflow, and Spark
- Ensure high-quality, efficient, and maintainable code by following best practices and coding standards
- Perform unit testing, integration testing, and troubleshoot complex data pipeline issues
- Collaborate with cross-functional teams to understand data requirements and deliver robust solutions
- Estimate development efforts and contribute to sprint planning and delivery
- Participate in code reviews and mentor junior team members where required
- Design cost-optimized and performance-efficient architectures leveraging GCP-native services
GCP, Pyspark, Java, SQL
Skills : Java, Bigdata ,GCP
Core Java: Well versed with OOP, Data Structures, Generics, Collections, Basic Regular Expressions, IO, Basic Concurrency. Java Spring: Core, REST API's Knowledge of: Basics Shell scripting, Postman, JSON, MYSQL Big Data: Hadoop, Map reduce, Basic Spark, HBase(M7) GCP skillset, Big query
We are looking for a skilled
Software Engineer / Data Engineer with strong expertise in
Core Java, Big Data technologies, and GCP to design, develop, and maintain scalable data processing systems and microservices.
Primary Skills / Technical Expertise
Core Java
- Strong knowledge of OOP concepts, Data Structures & Algorithms
- Expertise in Collections, Generics, Exception Handling
- Experience in Multithreading & Basic Concurrency
- Hands-on with Java IO & file processing
- Understanding of Regular Expressions
Java & Spring Framework
- Experience in Spring Core, Spring Boot
- Strong exposure to REST API design and development
- Knowledge of Microservices architecture
Big Data Technologies - Hands-on experience with:
- Hadoop Ecosystem
- MapReduce
- Apache Spark (Core & Basics of Spark SQL/PySpark)
- Hive (good to have)
- HBase or other NoSQL systems
- Understanding of:
- Distributed computing concepts
- Batch & real-time data processing pipelines
- Ability to handle large-scale data (GBs to TBs) (typical in Big Data roles) [Round 2 MI...Recording | Video]
GCP (Google Cloud Platform) - Hands-on experience with:
- BigQuery
- Cloud Storage (GCS)
- Good to have:
- Dataflow / Dataproc
- Pub/Sub
- Understanding of cloud-based data pipelines and deployment
Database / Tools - Strong knowledge of:
- SQL (MySQL / Hive / BigQuery queries)
- JSON handling & API integration
- Tools:
- Postman (API testing)
- Shell scripting (basic automation)
- Version control tools (Git – optional but preferred)
Key Responsibilities
- Design and develop scalable data processing applications
- Build and optimize ETL/data pipelines for large datasets
- Develop and maintain REST APIs and microservices
- Work on Big Data transformations and storage solutions
- Integrate systems with GCP cloud services
- Perform data validation, testing, and performance tuning
- Collaborate with cross-functional teams for end-to-end delivery
Click on Apply to know more.
