Responsibilities

- Manage and lead a team of data engineers, providing guidance, mentorship, and fostering a collaborative environment to maximize team performance.
- Your role will involve the diagnosis of existing architecture and data maturity and help the organization in identifying gaps and possible solutions.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- To comply with coding standards and ensure the creation of test cases/queries/validations for all developed features.
- Data governance – meta data management, data quality & etc.,
- Evaluate and recommend the Cloud data platform for customer needs with optimal solution.
- To provide guidance and monitoring the team on end-to-end operational process.
- Dimensional modelling & business domain – Convert data into business domain / entity using Dimensional modelling / Data Vault design pattern.
- You will oversee the development and maintenance of data pipelines, ensuring data quality, reliability, security, and scalability.
Competencies
:
- Ready to learn, adopt and implement state of the art evolving open-source technologies to provide path breaking business solutions to enhance top organisation globally.
- Build moderately complex prototypes to test new concepts and provide ideas on reusable frameworks, components and data products or solutions and help promote adoption of new technologies.
- Promote a culture of continuous learning, sharing knowledge, and keep abreast of emerging data engineering technologies and trends, and recommend their adoption to improve efficiency and productivity.
- Design and develop project proposals, technology architecture, Delivery management and career development strategies.
- Strong analytical and critical thinking skills
- Excellent written and oral communication in English to collaborate with cross-functional teams.
PRIMARY SKILLSET
- ETL or ELT: AWS Glue/ Azure Data Factory/ Synapse/ Matillion/ dbt (Anyone - Mandatory).
- Data Warehouse: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory).
- Cloud Experience: AWS/Azure/GCP (Anyone - Mandatory).
- Programming Language: Apache Spark / Python.
- Data Patterns.
- Data Modelling.
- Product migration.
SECONDARY SKILLSET
- Data Visualization: Power BI/Tableau/Looker. (Anyone – Good to have).
- Full stack technologies (Good to have)

Qualifications

- Manage and lead a team of data engineers, providing guidance, mentorship, and fostering a collaborative environment to maximize team performance.
- Your role will involve the diagnosis of existing architecture and data maturity and help the organization