Data Architect

A minimum of 10 years of experience in data architecture and analytics.
Databricks: Proficiency in Databricks for data processing machine learning and
analytics.
Cloud Platforms: Strong experience with any one or more cloud platforms such as
AWS Azure GCP and the ability to integrate Databricks with them.

Data Engineering: Strong experience engineering concepts data modelling and ETL
processes.
SQL: Advanced SQL skills for data querying transformation and analysis.
Python: Proficiency in Python programming for data manipulation scripting and
automation.
Apache Airflow: Strong experience with Apache Airflow for orchestrating and
scheduling ETL workflows.
Big Data Technologies: Familiarity with big data technologies like Spark Hadoop
and related frameworks.
Data security best practices and compliance standards.
Data Modelling: Understanding of data modelling principles and best practices.
Data Warehousing: Knowledge of data warehousing concepts and best practices.
Version Control: Proficiency in version control systems such as Git.
Communication: Excellent communication and collaboration skills to work
effectively with crossfunctional teams.
Relevant certifications in Databricks and cloud platforms are advantageous.

Budget : 3035 LPA

Work Location : Chennai Tamil Nadu

Mode of Work : Monday Friday from Office