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Job Description
Job Title: Data Engineer (Big Data & ETL)
Location- Gurgaon
1 year C2H
Exp Level- 4-8 years
Role Overview
We are looking for a highly skilled Data Engineer to design, build, and maintain scalable data pipelines. You will be responsible for leveraging Java to develop complex data transformations and utilizing GCPs suite of data tools to build robust Data Warehousing solutions that drive business intelligence and analytics.
Key Responsibilities
- Pipeline Development: Design and implement high-volume, low-latency ETL/ELT pipelines to ingest data from heterogeneous sources (structured and unstructured).
- Data Engineering: Develop and maintain data processing applications using Java to handle custom transformations and business logic.
- GCP Ecosystem: Architect solutions using GCP services such as BigQuery, Dataflow, Dataproc, and Pub/Sub.
- Data Modeling: Design efficient schemas and data warehouse structures in BigQuery to support analytical queries.
- Optimization: Optimize data processing jobs for performance, cost-efficiency, and scalability.
- Cloud Infrastructure: Utilize Infrastructure-as-Code (Terraform) to manage and deploy GCP data resources.
- Collaboration: Work closely with Data Scientists and Analysts to ensure data quality and accessibility.
Required Qualifications & Technical Skills
- Programming: Strong proficiency in Java (mandatory); experience with Python or Scala is a strong plus.
- Big Data Frameworks: Deep experience with Apache Beam (for Dataflow), Apache Spark, or Hadoop.
- GCP Expertise:
- BigQuery: Mastery in SQL, partitioning, clustering, and materialized views.
- Cloud Dataflow: Building and monitoring stream/batch pipelines.
- Cloud Storage: Managing data lakes/buckets.
- Data Warehousing: Solid understanding of dimensional modeling (Star/Snowflake schemas) and Data Vault.
- Workflow Orchestration: Experience with Cloud Composer (Airflow) for job scheduling and dependency management.
- Database Knowledge: Experience with both RDBMS (PostgreSQL/MySQL) and NoSQL databases.
Looking to get Placed? Try our Placement Guarantee Plan
Preferred Qualifications
- GCP Professional Data Engineer Certification.
- Experience with streaming data architectures (Kafka or Pub/Sub).
- Knowledge of CI/CD pipelines (GitHub Actions, Cloud Build).
- Experience in migrating legacy on-premise data warehouses to GCP.
Skills
Big DataPythonCloud InfrastructureData ModelingData WarehousingEtlData ProcessingMysqlSnowflakeData EngineerAnalyticsSqlIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Ampstek supplies thousands of tech and digital professionals annually to a range of clients through its offices which are spread across 42 countries. From simple beginnings in 2014, Ampstek has always been on a journey to reinvent the world of recruitment by creating amazing customer and candidate experiences driven by a genuine desire to build long-term relationships and outcomes.
This motivation to break from the pack is stronger than ever as we roll out Ampstek Power globally, an innovative life hub platform for freelancers based around rewarding loyalty and providing a range of professional and personal well-being programs. AmpsTek is a global information technology consulting company with its headquarters in Princeton, NJ, USA, and has a global presence spanning 40 countries.
USA, Australia, NZ, Singapore, Malaysia, Canada, CostaRica, Mexico, UK, Germany, France, Sweden, Denmark, Austria, Belgium, Netherlands, Romania, Poland, Hungary, Spain, Czech, Bulgaria, Ireland, Norway, Croatia, Slovakia, Portugal, Switzerland, Greece, Philippines, Vietnam, Thailand, Indonesia, Srilanka, India, South Korea, Taiwan, Hongkong, South Africa, UAE, Turkey At Ampstek we see community impact and legacy as vital to our business, which is why we tackle social bias and attitudes.
We provide employment opportunities for young people experiencing barriers to employment, and programs like 100% Human at Work promote the importance of diversity, equality, and respect in the workplace. We look to lead the way so we’re delighted to have our efforts acknowledged with awards globally in the last few years from the likes of LinkedIn, EY, and Deloitte, who recognized Ampstek as one of the Top 30 companies in the world to work based on employee engagement.
Our specialist areas include:
Microsoft Dynamics
Azure
Mobile (IOS & Android) Development
SAP, ERP
Big Data and Business Intelligence Business Analysis,
QA & Testing Solution Design & Architecture Network and Application Security
Cloud Hosting & DevOps Engineers
AmpsTekwas founded in 2003 by senior technology executives with deep experience in the enterprise services market. Headquartered in New Jersey, the founder’s goal was to provide a high level of service, value, and scale to meet the needs of technology transformation and staffing.
Since then, the organization has grown into a global provider focused on a holistic technology vision to deploy innovative, best-in-class solutions that engage customers and prospects, enable your business, and accelerate your results. We serve over 200 customers, meeting the needs of millions of website visitors and thousands of desktop and mobile users.
Important dates & deadlines?
Application Deadline
01 Jun 26, 04:45 PM IST
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Senior Data Engineer (Big Data & ETL)
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