<div>Innoventrics is a global technology solutions company with a strong presence in India, USA and the Canada, empowering organizations in IT and Healthcare to innovate, scale, and transform digitally. We blend deep industry knowledge with next-gen technologies to help businesses stay ahead in a rapidly evolving digital world. 🚀 𝗪𝗵𝗮𝘁 𝗪𝗲 𝗗𝗼 •𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 – Modernizing IT systems with cloud, automation, and AI-driven innovation. •𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 – Enhancing patient care, data management, and interoperability. •𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁– Building scalable, secure, and user-centric digital products. •𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 &amp; 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆– Aligning business goals with future-ready technology. 💡 𝗪𝗵𝘆 𝗜𝗻𝗻𝗼𝘃𝗲𝗻𝘁𝗿𝗶𝗰𝘀 •Dual presence in India &amp; USA ensuring round-the-clock collaboration. •Proven expertise across technology and healthcare ecosystems. •Dedicated teams focused on quality, agility, and measurable outcomes. •Commitment to innovation, integrity, and long-term partnerships. At 𝗜𝗻𝗻𝗼𝘃𝗲𝗻𝘁𝗿𝗶𝗰𝘀, we believe technology should inspire progress. Let’s build smarter, stronger, and more connected solutions — together.</div>

Innoventrics

What You'll Do As a Sr Data Engineer GCP:
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Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
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Build and maintain APIs to expose data to downstream applications
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Develop real-time streaming data pipelines
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Tech stack includes Airflow, Spark, Databricks, Delta Lake, and Snowflake
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Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
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Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
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Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)
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Qualifications:
You could be a great fit if you have:
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5+ years of data engineering experience developing large data pipelines
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Proficiency in at least one major programming language (e.g. Python, Java, Scala)
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Hands-on production environment experience with distributed processing systems such as Spark
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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query).
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Experience in developing APIs with GraphQL
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Advanced understanding of OLTP vs OLAP environments
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Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling
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This client requires that a background check be completed. A background check is required to protect our company/client and its stakeholders by ensuring that we hire individuals with a trustworthy history, which helps maintain a safe and secure workplace. This proactive measure minimizes potential risks and promotes a culture of integrity within the organization.
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Benefits Offered:
Employer provides access to:
�&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3 levels of medical insurance for you and your family
�&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Dental insurance for you and your family
�&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;401k
�&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Overtime
�&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;California has the following sick leave policy: accrue 1 hour for every 30 hours worked up to 48 hours. If you are based in a different state, please inquire about that state’s sick leave policy.&nbsp;