operations with the following skillsets & terms and conditions:
Experience : 6+ years
Mandatory Skills
Expertise in Data Management, Enterprise data modelling, governance & data quality assessment practices. Understanding of DAMA - DMBOK subject areas and ability to work on those areas.
DAMA certification.
Expertise in building and managing scalable data pipelines on platforms like AWS and Databricks
Strong hands-on experience in ETL development, data integration, and real-time data streaming
Proficiency in Python, SQL and other relevant programming languages
Experience with data engineering tools and frameworks like Databricks and Apache Spark
Knowledge of data modeling, data warehousing, and data lake architecture Experience in designing and implementing AWS cloud data and analytics architecture
Understanding of data governance frameworks and best practices
Ability to automate data preparation, integration tasks, and implement best practices for data governance and security
Hands-on experience with automated testing and continuous monitoring for data pipelines
Good to Have:
Certification in cloud platforms such as AWS and Databricks INTERNAL
Experience with DevOps practices in data engineering, including CI/CD for data pipelines
Strong collaboration skills with data scientists, IT teams, and business stakeholders
Terms and conditions
Joining time frame: (15 - 30 days)
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