Key Responsibilities:

Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
Design and develop data architectures, including data lakes, data warehouses, and data marts, to support different business needs.
Evaluate and select appropriate technologies, tools, and methodologies for data management and analytics.
Develop data governance policies and procedures to ensure data integrity and security.
Define data integration and ETL processes to facilitate data movement across different systems.
Design and implement data pipelines for real-time and batch processing.
Create and maintain data models, data dictionaries, and data lineage documentation.
Perform data profiling and data quality assessments to identify and resolve any data issues.
Conduct performance tuning and optimization of data solutions to improve efficiency and reduce costs.
Collaborate with data analysts and data scientists to provide them with the necessary data sets for their analysis and modeling.
Stay updated with the latest trends and advancements in data management and analytics to continuously improve our data solutions.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
Minimum of 5 years of experience in data architecture, data engineering, or a similar role.
Strong knowledge of database management systems, data warehousing, and ETL tools.
Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud.
Proficient in SQL, scripting languages, and data manipulation tools.
Knowledge of data modeling techniques and data visualization tools.
Experience with Agile development methodologies.
Excellent communication and collaboration skills.
Strong analytical and problem-solving skills.
Ability to work independently and manage multiple projects simultaneously.

Join us and be a part of our mission to harness the power of data to drive business growth and success.

Hashtags