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Premium Employer

Siemens

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4.1

based on 4.5k Reviews

1 Siemens Data Engineer Job

Manager (Data Engineering)

Siemens Limited

4.1

based on 4.5k Reviews

10-20 years

Bangalore / Bengaluru

1 vacancy

Manager (Data Engineering)

Siemens

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

Python PLSQL SAP Data Migration Data Modeling Metadata UNIX Shell Scripting

+ 2 more

Job Description

Lead the design, development, and maintenance of data architecture, data models, and data flows for various data integration and data warehousing projects, with a strong emphasis on Snowflake and SQL.
Manage and mentor a team of data engineers, providing guidance, performance feedback, and career development support to ensure team effectiveness and growth.
Document and maintain the data architecture, data models, and data flows, ensuring they are comprehensive and accessible to both internal and external stakeholders.
Provide strategic direction on the adoption of cloud technologies, specifically Snowflake, and implement industry best practices in data warehouse architecture and modeling.
Oversee the successful completion of complex technical projects, including the creation of high-level design and architecture documentation such as class, sequence, and deployment infrastructure diagrams.
Manage the end-to-end technical solutions for projects across various domains, including presales, sales, collections, and after-sales service.
Collaborate with stakeholders to gather requirements, identify pain points, and propose innovative, technology-driven solutions.
Ensure that ongoing projects align with architectural standards and lead any necessary modifications or enhancements.
Stay informed on the latest industry trends and technologies, recommending and implementing innovative solutions to improve efficiency and effectiveness.
Manage multiple projects simultaneously, ensuring all deadlines are met under time-to-market pressures.

You d describe yourself as:

A minimumof 10 years of experience in IT, with at least 3 years in a leadership rolemanaging team and 7+ years in data warehousing, data architect, ETL, BIprojects.
Provenexperience in managing and leading a team of data engineers, with strongleadership and interpersonal skills.
Strongexpertise in SQL, including advanced query writing, optimization, andperformance tuning in large-scale data environments.
Provenexperience with end-to-end implementation of Snowflake cloud data warehouses,including data modeling, ELT, and the development of complex stored procedures.
In-depthknowledge of advanced Snowflake concepts, including resource monitors, RBACcontrols, virtual warehouse sizing, query performance tuning, zero-copycloning, and time travel features.
Hands-onexperience with Snowflake utilities such as SnowSQL, SnowPipe, and Big Datamodeling techniques using Python.
Experiencewith data migration from RDBMS/SAP HANA to Snowflake cloud data warehouses.
Strongunderstanding of relational and NoSQL data stores, including star and snowflakeschemas and dimensional modeling.
Experiencein managing data security, access controls, and designing secure datasolutions.
Proficiencyin AWS or Azure data storage and management technologies, such as S3 and ADLS.
Strongbackground in building processes to support data transformation, metadatamanagement, and workload management.
Expertisein RDBMS, complex SQL, PL/SQL, Unix Shell scripting, and performance tuning.
Experiencewith Agile development methodologies and a track record of successfullydelivering projects in an Agile environment.
Strongwritten and verbal communication skills, with the ability to communicateeffectively with technical and non-technical stakeholders.