Hexagon Capability Center India
Location
Hyderabad | India
Job description
Responsibilities Identify and assist in building and maintaining data pipelines and transformations Enable the delivery of data interoperability across the entire mining industry value-chain Ensure data definition classification, definition overlap, and versioning are managed Identify and assist in defining new high-value data definitions for data science applications Developing data infrastructure Implementing security and privacy measures Work with BI report developers to identify gaps or improvements to data definitions. Work autonomously, but also align with the dynamic global team from Perth, Australia Working with agile methodologies and industry best practices Develop a deep understanding of the domain and target audience Developing new components, features, and functionality within a large suite of mining software products Assist with other software development tasks as required, e.g., documentation Take responsibility for resolving technical product issues. Assist with estimating iterations and product releases. Align with the objectives of the Mining division of HCCI
What You’ll Need Minimum 5 years of experience in software development Understanding of the principles, tools, and programs required for data engineering, reporting, analytics, visualization and/or machine learning Experience analyzing data and with data engineering projects. Experience in writing and maintaining technology and data documentation Experience in database design and TSQL using PostgreSQL and SQL Server Experience with Apache Airflow Experience with Data Build Tool (DBT) Experience with source control tools such as Git and CI tools such as Bamboo Experience in JIRA and Confluence to collaborate with the product teams Capable of effectively working with multiple stakeholders in cross-cultural, global teams Experience with coding such as SQL, NoSQL, and Python. Experience with Docker/Kubernetes/Containers What Would Be Nice Experience working with data standards that have been defined Experience conducting data analysis and preparing a report Experience working with data pipelines Experience with data lakes and data lake tools Experience with Snowflake. Experience with cloud platforms such as Azure/AWS Experience in working with data warehouses and data lakes Knowledge of design principles and quality processes Knowledge of stored procedures, indexing, and performance optimization Knowledge of connecting databases with reporting tools such as Tableau or Power BI Knowledge of the Mining domainJob tags
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