13 days ago
Gurgaon, IndiaStaff+
Responsibilities
- Lead the architecture and optimization of scalable ETL/ELT pipelines, data models, and cloud data platforms.
- Drive automation, orchestration, CI/CD, performance tuning, and engineering best practices across data platforms.
- Establish data quality, governance, security, monitoring, and metadata frameworks for reliable data solutions.
- Design and deliver scalable batch and streaming data architectures and production-grade data pipelines.
- Mentor engineers, drive architectural decisions, manage stakeholders, and translate complex technical concepts for diverse audiences.
- Manage competing priorities, mitigate risks, reduce technical debt, and deliver strategic data engineering outcomes.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
- 6–8 years of experience in data engineering, data platform development, or related technical roles.
- Advanced proficiency in SQL, Python, Scala, and Java, with expertise in cloud-based data engineering and distributed processing.
- Experience building scalable production-grade data pipelines and optimizing modern data platforms.
- Deep experience with Snowflake, Databricks, AWS Redshift, or Azure Synapse.
- Advanced experience with Apache Airflow, Azure Data Factory, or dbt at enterprise scale.
- Experience with streaming and event-driven architectures such as Kafka, Kinesis, or Event Hubs.
- Strong background in CI/CD, infrastructure-as-code, and Docker/Kubernetes containerization for data platforms.
- Advanced knowledge of dimensional modeling, star schema, data vault, metadata, data governance, Data Lake, Lakehouse, and Unity Catalogue concepts.
- Advanced AWS, Azure, or GCP Data Engineer/Architect certification is preferred.
- Snowflake, Databricks, or equivalent advanced data platform certification is preferred.
Benefits
- Hybrid work flexibility.
- No travel required.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaAWSDatabricksdbtDockerGoogle Cloud PlatformJavaKubernetesPythonScalaSnowflakeSQL
Categories
Data Engineering
About Stryker
Stryker designs and manufactures medical devices and equipment for hospitals and surgeons, spanning orthopaedic implants, trauma and spine hardware, surgical tools, endoscopy, navigation, and patient care equipment. The NYSE-listed company, founded in 1941 and headquartered in Kalamazoo, Michigan, sells products and related services worldwide to health systems and ambulatory centers. It reported $22.6 billion in 2024 sales and markets its portfolio across roughly 75 countries.