Senior Engineer, EDT Data & Analytics - Data Engineering
Stryker (company site, opens in a new tab)3–5 yrsGurugramOn-siteDirect career pageEst. 12–22 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable ETL/ELT data pipelines and data models to support reliable analytics and reporting.
- Develop automated data workflows using orchestration tools and programming languages like SQL, Python, Scala, or Java.
- Ensure data quality, governance, and compliance with validation, monitoring, and error-handling frameworks across cloud and on-premises platforms.
Minimum Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline.
- 3-5 years of experience in data engineering, ETL development, or database development.
- Strong proficiency in SQL and hands-on experience with at least one programming language (Python, Scala, or Java).
- Experience with cloud data platforms (e.g., Snowflake, Databricks, AWS Redshift, Azure Synapse) and workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, dbt).
Ideal Candidate Profile
- Experienced in building and maintaining scalable data pipelines in cloud or hybrid environments.
- Skilled in complex data modeling techniques and modern data architectures like Data Lake, Lakehouse, and Unity Catalogue.
- Holds or is willing to obtain cloud platform certifications (AWS, Azure, GCP, Snowflake, or Databricks).