Home Online TCS Hiring for Azure Data Architect_New Delhi

Home Online TCS Hiring for Azure Data Architect_New Delhi

TCS Hiring for Azure Data Architect_New Delhi

Full time at Tata Consultancy Services in Online
Posted on December 18, 2024

Job details

TCS Hiring for Azure Data Architect_New Delhi Experience: 8 to 12 Years Only Job Location: New Delhi Azure Data Architect_New Delhi Job Description: Must-Have:

  • Hands on experience in Azure Data Factory, Azure Data Bricks, Azure Data Lake, Azure Synapse, Python, Scala, ETL
  • Should have good data modeling understanding.
  • Must have very good communication.
Good-to-Have
  • Understand the data modelling concepts in Database & SQL
Responsibility of / Expectations from the Role: 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
Kind Regards, Priyankha M

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