Posted:13 hours ago|
Platform:
Work from Office
Full Time
Design and implement data pipelines using ETL/ELT tools and techniques.
Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes.
Develop and implement data quality checks and monitoring processes.
Automate data platform deployments and operations using scripting and DevOps tools (e.g., Git, CI/CD pipeline).
Ensuring compliance with data governance and security standards throughout the data platform development process.
Troubleshoot and resolve data platform issues promptly and effectively.
Collaborate with the Data Architect to understand data platform requirements and design specifications.
Assist with data modelling and optimization tasks.
Work with business stakeholders to translate their needs into technical solutions. • Document the data platform architecture, processes, and best practices.
Stay up to date with the latest trends and technologies in full stack development, data engineering, and DevOps.
Proactively suggest improvements and innovations for the data platform.
ETL or ELT: AWS Glue/ Azure Data Factory/ Synapse/ Matillion/dbt.
Data Warehousing: Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory).
Data Visualization: Looker, Power BI, Tableau.
SQL and Apache Spark / Python programming languages
Containerization technologies (e.g., Docker, Kubernetes)
Cloud Experience: AWS/Azure/GCP.
Scripting and DevOps tools (e.g., Git, CI/CD pipeline)
AWS Certification - AWS Foundational certificates or AWS Technical Certificates
Jman Digital Services
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