Job
Description
Company Description JMAN Group is a growing technology-enabled management consultancy that empowers organizations to create value through data. Founded in 2010, we are a team of 450+ consultants based in London, UK, and a team of 300+ engineers in Chennai, India. Having delivered multiple projects in the US, we are now opening a new office in New York to help us support and grow our US client base. We approach business problems with the mindset of a management consultancy and the capabilities of a tech company. We work across all sectors, and have in depth experience in private equity, pharmaceuticals, government departments and high-street chains. Our team is as cutting edge as our work. We take pride for ourselves on being great to work with â no jargon or corporate-speak, flexible to change and receptive of feedback. We have a huge focus on investing in the training and professional development of our team, to ensure they can deliver high quality work and shape our journey to becoming a globally recognised brand. The business has grown quickly in the last 3 years with no signs of slowing down. Technical specifications 5 + years of experience in data platform builds. Familiarity with multi cloud data warehousing solutions (Snowflake, Redshift, Databricks, Fabric, AWS Glue, Azure Data Factory, Synapse, Matillion,DBT ). Proficient in SQL, Apache Spark / Python programming languages. Good to have skills includes Data visualization using Power BI, Tableau, or Looker, and familiarity with full-stack technologies. Experience with containerization technologies (e.g., Docker, Kubernetes) Experience with CI/CD pipelines and DevOps methodologies. Ability to work independently, adapt to changing priorities, and learn new technologies quickly. Experience in implementing or working with data governance frameworks and practices to ensure data integrity and regulatory compliance. Knowledge of data quality tools and practices. Responsibilities 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. Requirements Required Skillset: ETL or ELT : AWS Glue/ Azure Data Factory/ Synapse/ Matillion/dbt. Data Warehousing : Azure SQL Server/Redshift/Big Query/Databricks/Snowflake/fabric (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) Show more Show less
