דרושים מדען נתונים ב-Bmc ב-הודו
BMC Data Engineer India, Maharashtra
CareerArc Code
As a Data Engineer, you will play a crucial role in leading and managing strategic data initiatives across the business. Your responsibilities will include:
- Leading data engineering projects across key business functions, including Marketing, Sales, Customer Success, and Product R&D.
- Developing and maintaining data pipelines to extract, transform, and load (ETL) data into data warehouses or data lakes.
- Designing and implementing ETL processes, ensuring the integrity, scalability, and performance of the data architecture.
- Leading data modeling efforts, ensuring that data is structured for optimal performance and that security best practices are maintained.
- Collaborating with data scientists, analysts, and stakeholders to understand data requirements and provide valuable insights across the customer journey.
- Guiding and mentoring junior engineers, providing technical leadership and ensuring best practices are followed.
- Maintaining documentation for data structures, ETL processes, and data lineage, ensuring clarity and ease of understanding across the team.
- Developing and maintaining data security, compliance, and retention protocols as part of best practice initiatives.
- 5+ years of experience in data engineering, data warehousing, and building enterprise-level data integrations.
- Proficiency in SQL, including query optimization and tuning for relational databases (Snowflake, MS SQL Server, RedShift, etc.).
- 2+ years of experience working with cloud platforms (AWS, GCP, Azure, or OCI).
- Expertise in Python and Spark for data extraction, manipulation, and data pipeline development.
- Experience with structured, semi-structured, and unstructured data formats (JSON, XML, Parquet, CSV).
- Familiarity with version control systems (Git, Bitbucket) and Agile methodologies (Jira).
- Ability to collaborate with data scientists and business analysts, providing data support and insights.
- Proven ability to work effectively in a team setting, balancing multiple projects, and leading initiatives.
- Experience in the SaaS software industry.
- Knowledge of analytics governance, data literacy, and core visualization tools (Tableau, MicroStrategy).
- Familiarity with CRM and marketing automation tools (Salesforce, HubSpot, Eloqua).
- Bachelor’s or master’s degree in computer science, Information Systems, or a related field (Advanced degree preferred).
Min salary
Mid point salary
Max salary
משרות נוספות שיכולות לעניין אותך
BMC Principal Data Scientist India, Maharashtra
CareerArc Code
To ensure you’re set up for success, you will bring the following skillset & experience:
• 10+ years in customer-facing roles of progressing seniority
• Must be a U.S. Citizen
• Navigate customer organizational structures to identify and build relationships with executives and partners
• Strong executive presence with ability to convey complex technical and functional scenarios in simple models and business speak
• Experience successfully navigating complex, matrixed organizations - this is a highly visible role that will continuously interface with customers and sales/presales leaders and c-level executives across the organization
• Proficient at being prescriptive and driving action-oriented meetings
• Influential team member, possessing a high level of integrity, cross-functional collaboration, and ability to bring alignment to complex environments
• Highly enthusiastic, creative, and collaborative individual that excels in a matrixed environment. Ability to manage influence through persuasion, negotiation, and consensus building
• Digest and effectively communicate technical concepts across audiences of varying technical abilities
• Has served the IT stakeholder audience at some point in your career and has experience with serving multiple lines of business. Understands the complexities of IT to Line of Business interoperability.
• Strong empathy for customers, employees and drive to growth revenue and market impact
• Deep understanding of value drivers in recurring revenue business model
• First-hand experience with organizational and project level governance models
• Outstanding written, verbal and listening communication skills - ability to relate to and talk with people at all levels of an organization
Min salary
Mid point salary
Max salary
משרות נוספות שיכולות לעניין אותך
CareerArc Code
As a Data Engineer, you will play a crucial role in leading and managing strategic data initiatives across the business. Your responsibilities will include:
- Leading data engineering projects across key business functions, including Marketing, Sales, Customer Success, and Product R&D.
- Developing and maintaining data pipelines to extract, transform, and load (ETL) data into data warehouses or data lakes.
- Designing and implementing ETL processes, ensuring the integrity, scalability, and performance of the data architecture.
- Leading data modeling efforts, ensuring that data is structured for optimal performance and that security best practices are maintained.
- Collaborating with data scientists, analysts, and stakeholders to understand data requirements and provide valuable insights across the customer journey.
- Guiding and mentoring junior engineers, providing technical leadership and ensuring best practices are followed.
- Maintaining documentation for data structures, ETL processes, and data lineage, ensuring clarity and ease of understanding across the team.
- Developing and maintaining data security, compliance, and retention protocols as part of best practice initiatives.
- 5+ years of experience in data engineering, data warehousing, and building enterprise-level data integrations.
- Proficiency in SQL, including query optimization and tuning for relational databases (Snowflake, MS SQL Server, RedShift, etc.).
- 2+ years of experience working with cloud platforms (AWS, GCP, Azure, or OCI).
- Expertise in Python and Spark for data extraction, manipulation, and data pipeline development.
- Experience with structured, semi-structured, and unstructured data formats (JSON, XML, Parquet, CSV).
- Familiarity with version control systems (Git, Bitbucket) and Agile methodologies (Jira).
- Ability to collaborate with data scientists and business analysts, providing data support and insights.
- Proven ability to work effectively in a team setting, balancing multiple projects, and leading initiatives.
- Experience in the SaaS software industry.
- Knowledge of analytics governance, data literacy, and core visualization tools (Tableau, MicroStrategy).
- Familiarity with CRM and marketing automation tools (Salesforce, HubSpot, Eloqua).
- Bachelor’s or master’s degree in computer science, Information Systems, or a related field (Advanced degree preferred).
Min salary
Mid point salary
Max salary
משרות נוספות שיכולות לעניין אותך
