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82 Siemens Energy Jobs
Senior Data Engineer- Snowflake
Siemens Energy
posted 3mon ago
Job Role Insights
Flexible timing
Job Description
- Service Operation and end to end delivery responsible.
- Strong functional approach required as this role involves regular interactions with business users and key users.
- Experience in DevOps and Familiar with docker and Gitlab for CICD
- Think always with self-help and self-administered perspective of new tool.
- Build up deep knowledge within DAsh with Snowflake model.
- Accommodating change requirements and new mapping
- Setting up an agile way of data replication and strong data service models.
- Establish and promote DaaS- Data as a Service culture with ease of user experience.
- Exhibit pro-activeness in getting involved in other organizational management discussions and initiatives.
- Excellent management and mentor skills.
- Organizational/planning skills with the ability to coordinate and manage multiple complex projects and organize workloads in a structured way within tight deadlines.
- Cross Function Collaboration.
- Flexibility to work with people in different time zones, e.g., Europe.
- Critical thinking skills and ability to work under stress.
- Organized approach to solve problem with good decision-making skills.
- Multi-tasking skills and ability to meet deadlines.
- Agile Practitioner.
- Identify the right technology stack and tools that best meet the customers requirements
- Design end-to-end solutions along with data strategy, including standards, principles, data sources, storage, pipelines, data flow, and data security policies
- Define the right security and access policies
- Collaborate with data engineers, data scientists, and other stakeholders to complete the data strategy
- Perform data analysis to understand the relevant data sets
- Implement the Snowflake standard methodologies
- Total 6-8 years of intensive hands on different ETL tools and platforms and minimum 4 years in Snowflake.
- Intensive working knowledge of snowflake SQL Scripting.
- Working knowledge of Python and PL/SQL with good knowledge of creating Procedures.
- Good knowledge in Snowflake architecture concepts - Cloud Services, Virtual Warehouse, Storage
- Good exposure in performance tuning, optimization on snowflake.
- Expert in Data modeling skills on relational databases especially for data warehousing
- Experience into Data Warehouse and Planning
- Knowledge in building End - to end data pipeline.
- Master s or bachelor s degree in computer science or IT.
- Experience in building data ingestion pipeline using AWS, Azure GCP data services.
- Knowledge of Control-M / Airflow or any Job scheduler
- Solid understanding of Database and Datawarehouse concepts
- Decent experience in migration projects, migrating from On-prem to Snowflake
- Extensive knowledge of the Snowflake capabilities such as Snow pipe, SnowSQL, Streams, and tasks
- Knowledge on Snowflake AI ML capabilities like: Cortex Search, Cortex Analyst, Document AI, Cortex LLM Functions etc.
- Experience in architecture and awareness of Snowflake roles and user security, RBAC model
- In-depth knowledge and experience in data migration from RDBMS to Snowflake cloud data warehouse
- Experience in implementing Snowflake integration with modern data stack tools
- Well-versed with Incremental extraction loads - batched and streaming
- Ability to architect data architecture solutions that are in alignment with the strategic technology roadmap and emerging industry trends
- Strong exposure to Data Modelling, Data Access Patterns, and SQL
- Knowledge of Cost Management, Infrastructure Planning Disaster Recovery
- Good experience in Data Governance and a good understanding of DevOps practices
- Understanding of Data Virtualization
- Experience in working on Big Data Platform
- Effective communication (verbal and written) and effective interpersonal skills
- Exposure to Azure Blob/ Amazon S3 Bucket.
- Knowledge in Amazon EC2 Cloud computing
- Knowledge in Spark Engine
- Snowpro Certified.
- Certified AWS Data Strategist
- AWS Certified Dev-Associate Level
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Senior Data Engineer roles with real interview advice
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What people at Siemens Energy are saying
What Siemens Energy employees are saying about work life
based on 681 employees
Flexible timing
Monday to Friday
No travel
Day Shift
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