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Data Engineering Lead

Data Engineering Lead

Siemens

0 - 3 years

0 Lacs

bengaluru karnataka

Posted:2 days ago| Platform: Indeed logo

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Skills Required

data engineering technology siemens support efficiency integration design development maintenance architecture effectiveness documentation sequence deployment leadership etl sql query writing optimization tuning controls sizing migration sap relational nosql security aws azure storage management unix scripting agile communication diversity creativity

Work Mode

On-site

Job Type

Full Time

Job Description

Job ID

481189

Posted since

16-Oct-2025

Organization

Global Business Services

Field of work

Information Technology

Company

Siemens Technology and Services Private Limited

Experience level

Experienced Professional

Job type

Full-time

Work mode

Office/Site only

Employment type

Permanent

Location(s)

Bangalore - Karnataka - India

Hello Talented Techie!

We provide transactional and digital Opportunity-to-Cash services from lead generation to the collection of incoming payments.We support Siemens businesses in driving top-line growth, profitability, cash conversion and customer intimacy.We are increasing efficiency across different businesses through process reengineering, simplification, digital services and Opportunity-to-Cash integration. We act as one global team, jointly delivering maximum value to our customers as their trusted Partner of Choice by driving E2E processes and digital transformation in an entrepreneurial way.

Manager (O2C)- Data Engineering Manager

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 minimum of 10 years of experience in IT, with at least 3 years in a leadership role managing team and 7+ years in data warehousing, data architect, ETL, BI projects.

Proven experience in managing and leading a team of data engineers, with strong leadership and interpersonal skills.

Strong expertise in SQL, including advanced query writing, optimization, and performance tuning in large-scale data environments.

Proven experience with end-to-end implementation of Snowflake cloud data warehouses, including data modeling, ELT, and the development of complex stored procedures.

In-depth knowledge of advanced Snowflake concepts, including resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero-copy cloning, and time travel features.

Hands-on experience with Snowflake utilities such as SnowSQL, SnowPipe, and Big Data modeling techniques using Python.

Experience with data migration from RDBMS/SAP HANA to Snowflake cloud data warehouses.

Strong understanding of relational and NoSQL data stores, including star and snowflake schemas and dimensional modeling.

Experience in managing data security, access controls, and designing secure data solutions.

Proficiency in AWS or Azure data storage and management technologies, such as S3 and ADLS.

Strong background in building processes to support data transformation, metadata management, and workload management.

Expertise in RDBMS, complex SQL, PL/SQL, Unix Shell scripting, and performance tuning.

Experience with Agile development methodologies and a track record of successfully delivering projects in an Agile environment.

Strong written and verbal communication skills, with the ability to communicate effectively with technical and non-technical stakeholders.

Ready to unlock the full potential of technology? Join us!

This role is based in Bangalore. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow.

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Data Engineering Lead