Hyderabad, Telangana, India
Information Technology
Full-Time
HMH
Overview
About us
HMH is a leading provider of drilling solutions, offering a wide range of products and services that are designed to be the safest and most efficient in the industry. Apart from our expertise in land and offshore operations, we are continuously expanding our knowledge within subsea mining, geothermal, onshore and offshore construction, as well as offshore wind industries. With offices in 16 countries across five continents, HMH maintains a strong global presence.
HMH is a frontrunner in developing and providing automation and digital solutions for our drilling customers to support their endeavor to improve efficiency and environmental footprint. Equipped with its brilliant team of engineers, HMH is committed to actively exploring opportunities in other industries. For us, this means new opportunities and challenges that we need creativity and great minds to solve in our efforts to innovate our future.
HMH is a frontrunner in developing and providing automation and digital solutions for our drilling customers to support their endeavor to improve efficiency and environmental footprint. Equipped with its brilliant team of engineers, HMH is committed to actively exploring opportunities in other industries. For us, this means new opportunities and challenges that we need creativity and great minds to solve in our efforts to innovate our future.
Do you want to join our team?
At HMH we value our employees. We offer exciting job opportunities that will give you the opportunity to grow in your role and give you the professional development you deserve. In addition to competitive pay and benefits, you will join a casual and inclusive work environment. Our environment is based on respect and having a good day at work, so you can expect to join a knowledgeable, global team who help each other to succeed.
Summary
Level at which a professional operates with knowledge at a more senior level in their respective field
Job Responsibilities
Data Analytics Architecture and Design:
- Develop and implement end-to-end architecture solutions focusing on data management and processing flows.
- Design data models, including Dimensional, Relational, NoSQL, and Data Marts.
- Provide expertise in data warehousing, MPP databases, and business intelligence.
Technical Implementation:
- Utilize services like Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse, Microsoft Fabric and Power BI to build data solutions.
- Implement data migration and engineering solutions using Azure products such as Azure Functions, Event Hub, and Stream Analytics.
- Conduct SQL optimization, Python programming, and PowerShell scripting.
Project Collaboration and Management:
- Work collaboratively with architects, technical leads, and business stakeholders to integrate technology solutions.
- Formulate deployment strategies to ensure scalability and reliability.
- Provide feedback on technical design, prototypes, and testing methodologies.
Operational Excellence:
- Develop robust integration with infrastructure, security, governance, and service delivery teams.
- Implement batch and streaming data pipelines using cloud technologies.
- Monitor, alert, and support production systems to ensure optimal performance.
Continuous Improvement and Innovation:
- Stay updated with the latest Data Analytics technologies, and suggest improvements and optimizations.
- Follow coding standards, best practices, and privacy/security guidelines.
- Participate in DevOps teams to own and support products through CI/CD pipelines.
Required Qualifications
Education: Bachelor’s degree in Computer Science, Data Engineering or related discipline
Experience:
- Minimum 7+ years of software solution development experience in an agile, DevOps-oriented environment.
- At least 5 years of data analytics experience using SQL.
- 3+ years of cloud development and data lake experience, preferably with Microsoft Azure.
- Experience with CI/CD tools such as GitHub, Jenkins, Azure DevOps.
Skills and Abilities:
- Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse
- Power BI, Azure SQL, Azure DevOps, Microsoft Entra ID
- SQL Optimization, Python, Spark
- PowerShell Scripting
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