Senior Engineer, EDT Data & Analytics - Data Engineering

Stryker
Gurugram, Haryana, India

The Data Engineer designs, builds, and maintains scalable data pipelines and integration solutions that power analytics, reporting, and business decision-making. This role works closely with Data Architects, Analysts, and Platform teams to ingest, transform, and deliver reliable, high-quality data across the Data and Analytics ecosystem, while following established engineering standards and best practices.

What you will do:

  • Design and optimize scalable ETL/ELT pipelines, data models, and data marts to enable reliable analytics and reporting.
  • Develop automated data workflows using orchestration tools while building efficient SQL and Python/Scala-based transformation processes.
  • Ensure data quality, governance, security, and compliance through robust validation, monitoring, and error-handling frameworks.
  • Support cloud data platforms and collaborate with stakeholders to deliver high-performance, business-driven data solutions.
  • Strong expertise in data engineering, including batch/streaming processing, SQL, and programming with Python, Scala, or Java.
  • Hands-on experience with distributed data frameworks, cloud data platforms, and modern data warehouse/lakehouse technologies.
  • Proven ability to troubleshoot complex technical issues, ensure data quality, and deliver reliable, scalable data solutions.
  • Collaborative and adaptable professional who works effectively across teams, embraces new technologies, and independently drives results.

What you will need:

Required Skills:

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline required with 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).
  • Working knowledge of relational databases and data warehousing/lakehouse concepts.
  • Ability to analyze complex data requirements and translate them into scalable technical solutions.
  • Experience with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse along with hands on experience in building and maintaining data pipelines on-premises or in a cloud environment.
  • Experience with workflow orchestration tools such as Apache Airflow, Azure Data Factory, or dbt. And streaming technologies such as Kafka, Kinesis, or Event Hubs.
  • Familiarity with CI/CD practices and version control (Git) for data engineering workflows and understanding of data modeling techniques (dimensional modeling, star schema, data vault)., knowledge of Data Lake, Lakehouse and Unity Catalogue Concepts, use of Tool’s AI features to bring efficiency in Coding and bug fixing
  • Cloud platform certification (AWS, Azure, or GCP Data Engineer track) preferred./ Snowflake, Databricks, or equivalent data platform certification preferred

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

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Questions about this job

How do I apply for the Senior Engineer, EDT Data & Analytics - Data Engineering job at Stryker?

Use the apply link on this page: you apply directly with Stryker on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Stryker want for this Senior Engineer, EDT Data & Analytics - Data Engineering role?

The job description asks for Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline, 3-5 years of experience in data engineering, ETL development, or database development, Strong proficiency in SQL, hands-on experience with at least one programming language (Python, Scala, or Java), Working knowledge of relational databases and data warehousing/lakehouse concepts, Experience with cloud data platforms such as Snowflake, Databricks, AWS Redshift, or Azure Synapse, hands on experience in building and maintaining data pipelines on-premises or in a cloud environment and Experience with workflow orchestration tools such as Apache Airflow, Azure Data Factory, or dbt. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Stryker?

Apply to the Stryker roles that match your experience, and tailor your resume to each job description: for this role that means showing Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline, 3-5 years of experience in data engineering, ETL development, or database development, Strong proficiency in SQL. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Senior Engineer, EDT Data & Analytics - Data Engineering job remote or onsite?

This is based in Gurugram, Haryana.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Stryker, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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