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Currently Hiring for Below Roles
Data Engineer
Job Role
As a Data Engineer, you will be at the core of the company’s data ecosystem, ensuring the data infrastructure is efficient, scalable, and reliable. You’ll be responsible for developing, optimizing, and maintaining data pipelines that deliver valuable insights for both the product and various business functions.
Responsibilities include:
- Building and maintaining data pipelines that collect, store, and transform data from various sources.
- Working closely with the Data Analysts and BI Developers to ensure data availability and accessibility.
- Implementing best practices for data storage, ensuring high data quality, and building automated validation checks.
- Scaling the company’s data infrastructure as they grow, ensuring the performance and reliability of data systems.
- Assisting in data modeling efforts to build a clean and efficient data architecture.
Tech Stack :
- Cloud Platforms: Google Cloud Platform, AWS, or Azure.
- Data Storage: BigQuery, Snowflake, or other scalable cloud databases.
- ETL Pipelines: Airflow, dbt, or similar.
- Programming Languages: Python, SQL.
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Senior Hadoop Admin
Job Role
- You will manage Hadoop clusters, data storage, server resources, and other virtual computing platforms. You perform a variety of functions, including data migration, virtual machine set-up and training, troubleshooting end-user problems, and designing assessment tools for storage and visualization applications.
- They must be able to design, build, and maintain systems in both cloud and physical environments. Big Data Engineers must also be able to collaborate with other IT professionals, including software engineers, system administrators, and development teams.
- You will be able to implement, monitor and maintain Hadoop systems in both cloud and physical environments.
- You will be deputed at customer premises to assist customers with issues related to Hadoop Infrastructure, Software Infrastructure and Application Software (Products) deployed.
Responsibilities include:
- Deploying a Hadoop cluster, maintaining and administration of a Hadoop cluster, adding and removing nodes using cluster monitoring.
- Performance monitoring of Hadoop components and optimization.
- Create and manage VMs, installation of VM tools, custom virtual hardware provisioning as per guest OS.
- Design automates scripts to improve efficiency, operational stability and operational integrity using PowerShell and Ansible.
- Monitor system performance, identify issues, and perform troubleshooting activities.
- Ensure the system documentation is up to date.
- Collaborate with IT professionals in other departments.
- Participate in system design, code reviews, and other development activities.
- Maintain and improve system availability, scalability, and reliability.
- Research, evaluate, and recommend new technologies.
- Stay updated with industry developments and emerging technologies.
Tech Stack :
- Technical Domain: Linux, Big Data, Apache Hadoop, Virtualization, KVM, OLVM, Vmware, Ansible, System Administration.
- Technical Skills: Apache, HDFS, YARN, Hbase, Kafka, Solr, Zookeeper, Spark, Redis, Postgre, etc
- Education: BE (IT/Computers), B.Tech, M.Tech, MCA
- Certifications: Big Data Hadoop & Cloudera Certifications – [Optional]
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AWS Engineer
Job Role
As a Data Engineer, you will be at the core of the company’s data ecosystem, ensuring the data infrastructure is efficient, scalable, and reliable. You’ll be responsible for developing, optimizing, and maintaining data pipelines that deliver valuable insights for both the product and various business functions.
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Azure Engineer
Job Role
As a Data Engineer, you will be at the core of the company’s data ecosystem, ensuring the data infrastructure is efficient, scalable, and reliable. You’ll be responsible for developing, optimizing, and maintaining data pipelines that deliver valuable insights for both the product and various business functions.
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