Azure Databricks Engineer
4 weeks ago
Role:Azure Databricks Engineer
Technical Skill Set:ADF/Databricks
Experience Range-10 to 15 Years
Location-Pan India
Desired Competencies:
Must-Have:
Minimum 10-12 years’ hands on experience in ADF/Databricks development. Should have good data modeling understanding. Must have very good communication.
Good-to-Have:
Understand the data modelling concepts in Database & SQL
Responsibility:
Qualifications: · 2-5 years of relevant IT experience with good exposure to Cloud technologies. · Experience using Databricks and proficiency in Microsoft Azure platform (incl. ADF and ADLS). · Experience querying databases and strong programming skills: PySpark, Python, SQL, etc. · Strong knowledge of data concepts and tools. · Ability to be an effective team member with remote colleagues. · Strong communication skills in English language (both written and spoken). Position activities include: · Design and build data pipelines using Spark-SQL and PySpark in Azure Databricks. · Build and maintain Lakehouse architecture in ADLS / Databricks. · Perform data preparation tasks including data cleaning, normalization, deduplication, type conversion etc. · Work with DevOps team to deploy solutions in production environments. · Collaborate with Data Science and Business Intelligence teams to share key learnings, leverage ideas and solutions and to propagate best practices. · Apply change management tools including training, communication, and documentation to manage upgrades, changes and data migrations. Preference will be given to these candidates: · Knowledge of distributed systems (e.g., Apache Spark or Databricks) · Knowledge of Delta Lake and Lakehouse architecture · Experience with multiple data programming languages (Spark-SQL, PySpark, Pandas) · Experience with On-premises databases such as SQL server, Oracle etc. · Experience with version control (e.g., Git), DevOps, CI/CD
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