Data Engineer - I
Siemens
Data Engineer - I
Job Description
Data Engineer - I
Who we are:
We are seeking a motivated Data Engineer to join our data engineering team. In this role, you will help build, maintain, and optimize data pipelines and infrastructure within our AWS and Snowflake environments. This position is ideal for someone with strong Python, SQL skills and a growing interest in cloud-based data engineering.
What you will be doing:
- Assist in building and maintaining scalable data pipelines that support analytics, reporting, and application needs.
- Work with senior engineers to design and optimize data models in Snowflake.
- Support ingestion, transformation, and integration of data from multiple sources.
- Develop and maintain ETL/ELT scripts using Python (e.g., for data transformations, API integrations, automation).
- Write efficient, well-structured SQL to extract, analyze, and validate data.
- Assist with deploying and managing data workflows using AWS services such as S3, Lambda, Glue, and Step Functions (exposure/understanding expected; will be mentored).
- Monitor pipeline performance, troubleshoot data quality issues, and contribute to continuous improvement.
- Collaborate with data analysts, data scientists, and business partners to understand requirements and support data needs.
- Follow best practices around version control, documentation, and data governance.
What you need
- 1–3 years of experience in data engineering, ETL development, or related field.
- Solid understanding of SQL and relational database concepts.
- Strong Python skills, including experience working with data libraries (e.g., Pandas, PySpark, Boto3).
- Exposure to or foundational knowledge of AWS data services (e.g., S3, Lambda, Glue, Athena, DynamoDB).
- Exposure to Snowflake or other cloud data warehouse platforms.
- Basic understanding of data pipelines, batch/stream processing, and data modeling principles.
- Strong problem-solving skills, attention to detail, and willingness to learn.
- Experience with Python is a plus (not required).
What makes you stand out
- Familiarity with dbt, Airflow, or similar orchestration tools.
- Experience with Git or other version control systems.
- Knowledge of data quality and testing frameworks.
- Understanding of CI/CD concepts.
What We Offer
- Mentorship from experienced data engineers.
- Opportunities to learn advanced AWS and Snowflake capabilities.
- A collaborative environment focused on growth, innovation, and continuous learning.
- Access to training resources and professional development programs.
The Brightly culture
We’re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
#LI-AC1
#Brightly
Locations
- Noida, Uttar Pradesh, India
Salary
Estimated Salary Rangemedium confidence
85,000 - 150,000 INR / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python (Pandas, PySpark, Boto3)intermediate
- SQLintermediate
- ETL/ELT developmentintermediate
- AWS services (S3, Lambda, Glue, Step Functions)intermediate
- Snowflake data modelingintermediate
- Data pipeline orchestration (dbt, Airflow)intermediate
Required Qualifications
- 1–3 years data engineering experience (experience)
- Solid SQL and relational DB knowledge (experience)
- Exposure to AWS and Snowflake (experience)
Responsibilities
- Build and maintain data pipelines
- Design and optimize data models
- Develop ETL/ELT scripts
- Monitor pipeline performance and troubleshoot
- Collaborate with analysts and scientists
Benefits
- general: Mentorship from experienced engineers
- general: Training resources and professional development
- general: Collaborative growth environment
Answer 10 quick questions to check your fit for Data Engineer - I @ Siemens.
10 Questions
~2 Minutes
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Data Engineer - I
Siemens
Data Engineer - I
Job Description
Data Engineer - I
Who we are:
We are seeking a motivated Data Engineer to join our data engineering team. In this role, you will help build, maintain, and optimize data pipelines and infrastructure within our AWS and Snowflake environments. This position is ideal for someone with strong Python, SQL skills and a growing interest in cloud-based data engineering.
What you will be doing:
- Assist in building and maintaining scalable data pipelines that support analytics, reporting, and application needs.
- Work with senior engineers to design and optimize data models in Snowflake.
- Support ingestion, transformation, and integration of data from multiple sources.
- Develop and maintain ETL/ELT scripts using Python (e.g., for data transformations, API integrations, automation).
- Write efficient, well-structured SQL to extract, analyze, and validate data.
- Assist with deploying and managing data workflows using AWS services such as S3, Lambda, Glue, and Step Functions (exposure/understanding expected; will be mentored).
- Monitor pipeline performance, troubleshoot data quality issues, and contribute to continuous improvement.
- Collaborate with data analysts, data scientists, and business partners to understand requirements and support data needs.
- Follow best practices around version control, documentation, and data governance.
What you need
- 1–3 years of experience in data engineering, ETL development, or related field.
- Solid understanding of SQL and relational database concepts.
- Strong Python skills, including experience working with data libraries (e.g., Pandas, PySpark, Boto3).
- Exposure to or foundational knowledge of AWS data services (e.g., S3, Lambda, Glue, Athena, DynamoDB).
- Exposure to Snowflake or other cloud data warehouse platforms.
- Basic understanding of data pipelines, batch/stream processing, and data modeling principles.
- Strong problem-solving skills, attention to detail, and willingness to learn.
- Experience with Python is a plus (not required).
What makes you stand out
- Familiarity with dbt, Airflow, or similar orchestration tools.
- Experience with Git or other version control systems.
- Knowledge of data quality and testing frameworks.
- Understanding of CI/CD concepts.
What We Offer
- Mentorship from experienced data engineers.
- Opportunities to learn advanced AWS and Snowflake capabilities.
- A collaborative environment focused on growth, innovation, and continuous learning.
- Access to training resources and professional development programs.
The Brightly culture
We’re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
#LI-AC1
#Brightly
Locations
- Noida, Uttar Pradesh, India
Salary
Estimated Salary Rangemedium confidence
85,000 - 150,000 INR / yearly
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Python (Pandas, PySpark, Boto3)intermediate
- SQLintermediate
- ETL/ELT developmentintermediate
- AWS services (S3, Lambda, Glue, Step Functions)intermediate
- Snowflake data modelingintermediate
- Data pipeline orchestration (dbt, Airflow)intermediate
Required Qualifications
- 1–3 years data engineering experience (experience)
- Solid SQL and relational DB knowledge (experience)
- Exposure to AWS and Snowflake (experience)
Responsibilities
- Build and maintain data pipelines
- Design and optimize data models
- Develop ETL/ELT scripts
- Monitor pipeline performance and troubleshoot
- Collaborate with analysts and scientists
Benefits
- general: Mentorship from experienced engineers
- general: Training resources and professional development
- general: Collaborative growth environment
Answer 10 quick questions to check your fit for Data Engineer - I @ Siemens.
10 Questions
~2 Minutes
Instant Score