Data Engineer

A Snapshot of Your Day

On a typical day, you will lead the design and implementation of scalable ETL/ELT data pipelines using Python or C#, while managing cloud-based data architectures on platforms like Azure and AWS. You’ll collaborate with data scientists and analysts to ensure seamless data integration for analysis and reporting, and mentor junior engineers on standard processes. Additionally, you will supervise and optimize data pipelines for performance and cost efficiency, while ensuring compliance with data security and governance regulations.

How You’ll Make an Impact

For our Onshore Execution Digital Product Development team, we are looking for a highly skilled Data Engineer with 8-10 years of experience to join our team. In this role, you will take ownership of designing and implementing data pipelines, optimizing data workflows, and supporting the data infrastructure. You will work with large datasets, cloud technologies while ensuring data quality, performance, and scalability.

• Lead the design and implementation of scalable ETL/ELT data pipelines using Python or C# for efficient data processing.
• Architect data solutions for large-scale batch and real-time processing using cloud services (AWS, Azure, Google Cloud).
• Craft and manage cloud-based data architectures with services like AWS Redshift, Google BigQuery, Azure Data Lake, and Snowflake.
• Implement cloud data solutions using Azure services such as Azure Data Lake, Blob Storage, SQL Database, Synapse Analytics, and Data Factory. Develop and automate data workflows for seamless integration into Azure platforms for analysis and reporting.
• Manage and optimize Azure SQL Database, Cosmos DB, and other databases for high availability and performance. Supervise and optimize data pipelines for performance and cost efficiency.
• Implement data security and governance practices in compliance with regulations (GDPR, HIPAA) using Azure security features.
• Collaborate with data scientists and analysts to deliver data solutions that meet business analytics needs. Mentor junior data engineers on standard processes in data engineering and pipeline design. Set up supervising and alerting systems for data pipeline reliability.
• Ensure data accuracy and security through strong governance policies and access controls. Maintain documentation for data pipelines and workflows for transparency and onboarding.

What You Bring

• 8-10 years of proven experience in data engineering with a focus on large-scale data pipelines and cloud infrastructure.
• Strong expertise in Python (Pandas, NumPy, ETL frameworks) or C# for efficient data processing solutions. Extensive experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
• Sophisticated knowledge of relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra). Familiarity with big data technologies (Apache Spark, Hadoop, Kafka).
• Strong background in data modeling and ETL/ELT development for large datasets. Experience with version control (Git) and CI/CD pipelines for data solution deployment.
• Excellent problem-solving skills for troubleshooting data pipeline issues. Experience in optimizing queries and data processing for speed and cost-efficiency.
• Preferred: Experience integrating data pipelines with machine learning or AI models. Preferred: Knowledge of Docker, Kubernetes, or containerized services for data workflows.Preferred: Familiarity with automation tools (Apache Airflow, Luigi, DBT) for managing data workflow.Preferred: Understanding of data privacy regulations (GDPR, HIPAA) and governance practices.

About the Team

Who is Siemens Gamesa?

Siemens Gamesa is part of Siemens Energy, a global leader in energy technology with a rich legacy of innovation spanning over 150 years. Together, we are committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. As a leading player in the wind industry and manufacturer of wind turbines, we are passionate about driving the energy transition and providing innovative solutions that meet the growing energy demand of the global community. At Siemens Gamesa, we are always looking for dedicated individuals to join our team and support our focus on energy transformation.

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

• All employees are automatically covered under the Medical Insurance. Company paid considerable Family floater cover covering employee, spouse and 2 dependent children up to 25 years of age.
• Siemens Gamesa provides an option to opt for Meal Card to all its employees which will be as per the terms and conditions prescribed in the company policy as a part of CTC, tax saving measure
• Flexi Pay empowers employees with the choice to customize the amount in some of the salary components within a defined range thereby optimizing the tax benefits. Accordingly, each employee is empowered to decide on the best Possible net income out of the same fixed individual base pay on a monthly basis.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.