Databricks Engineer

2 - 5 years

2 - 5 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. Were also an award-winning employer reflecting how employees are at the heart of Version 1.

We are seeking a talented and experienced Databricks Engineer to join our innovative team in Bengaluru, India. In this role, you will be responsible for designing, implementing, and optimising data pipelines and analytics solutions using the Databricks platform. You will collaborate closely with cross-functional teams to deliver high-quality, scalable data solutions that drive business insights and decision-making.

  • Develop and optimise ETL processes using Databricks and Apache Spark
  • Design and implement efficient data models and schemas for optimal data storage and retrieval
  • Collaborate with data scientists and analysts to build and deploy machine learning models
  • Ensure data quality, consistency, and reliability across all data pipelines
  • Optimise query performance and troubleshoot data processing issues
  • Implement robust data security and access control measures
  • Stay abreast of the latest Databricks features and best practices
  • Participate in code reviews and contribute to the team's knowledge base
  • Mentor junior team members and share expertise in big data technologies
  • Develop and maintain documentation for data processes and workflows
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions

Qualifications
  • Bachelor's degree in Computer Science, Data Science, or a related field
  • 6+ years of experience in data engineering or a related field
  • Strong proficiency in Databricks platform and Apache Spark
  • Excellent SQL skills and experience with Python or Scala
  • Proven experience in designing and implementing ETL processes and data pipelines
  • Solid understanding of big data technologies and distributed computing concepts
  • Experience working with cloud platforms such as AWS, Azure, or GCP
  • Familiarity with version control systems, preferably Git
  • Strong analytical and problem-solving skills with keen attention to detail
  • Excellent communication and collaboration skills
  • Experience with data warehousing and analytics concepts
  • Knowledge of data governance and compliance standards
  • Experience with real-time data processing and streaming technologies
  • Ability to work in a fast-paced, dynamic environment and manage multiple priorities
  • Databricks certifications are desirable

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