Join Today: TCS Hiring for Azure Databricks
Become a key member of our collaborative team as a TCS Hiring For Azure Databricks Engineer_hyderabadqv346! This position offers a hybrid work model, combining remote work with time in our Remote office. This position requires a strong and diverse skillset in relevant areas to drive success. This straightforward role comes with a dependable salary of a competitive salary.
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TCS Hiring for Azure Databricks Engineer_Hyderabad(Only Immediate Joiner) Experience: 5 to 9 Years Only Job Location: Hyderabad Only Notice Period: 0 to 30(Mandatory) Azure Databricks Engineer_Hyderabad(Only Immediate Joiner) Job Description: Role & Responsibilities: Required Skills/Must Have: Azure Databricks Azure Data Factory Azure Data Lake Synapse Python SQL Good-to-Have Understand the data modelling concepts in Database & SQL Responsibility of / Expectations from the Role: 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 Apply Job!Â
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