Senior Data Engineer

2 weeks ago

Hyderabad, Telangana, India Luxoft Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Project description

Information and Document Systems is a global technology change and delivery organization comprising nearly 200 individuals located mostly in Switzerland, Poland, and Singapore. Providing global capturing and document processing, archiving, and retrieval solutions to all business divisions focusing on supporting Legal, Regulatory, and Operational functions.

Responsibilities

  • Design, implement, and manage data solutions on Azure
  • Develop and maintain data pipelines using Databricks
  • Ensure efficient data storage and retrieval using Azure Storage and Data Lake
  • Automate infrastructure and application deployments with Ansible
  • Write clean, maintainable code in Python
  • Collaborate with team members using Git and GitLab for version control and CI/CD
  • Gather and document business requirements through stakeholder interviews and workshops
  • Analyze and translate business needs into technical specifications
  • Apply data analytics to interpret data and support business decisions
  • Communicate effectively with stakeholders to manage expectations and provide project updates
  • Continuously seek opportunities to improve processes and drive efficiency
  • Share and contribute: Support and guide less senior team members, contribute to team spirit and dynamic growth, actively participate in wider engineering group- and product-wide activities

SKILLS

Must have

  • 10+ years of data engineering/analysis experience
  • Degree in Computer Science, Information Technology, or related field
  • Proficient in deploying and managing services on Microsoft Azure
  • Hands-on experience with Databricks for data processing and analytics
  • Understanding of Azure Storage concepts and best practices
  • Strong programming skills in Python for data manipulation and automation
  • Excellent verbal and written communication skills to interact with stakeholders and team members
  • Strong analytical abilities to interpret data and provide actionable insights to support data-driven decision making

Nice to have

i. Apache Spark/Databricks experience. ii. Big Data experience in general iii. Data analysis

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