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Lead Data Engineer
Omnicell
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
The Lead Data Engineer is a skilled professional responsible for designing, developing, and maintaining large-scale, multi-tenant data infrastructure and applications. This individual applies industry best practices to build robust, scalable, and efficient data pipelines and systems using an Agile-based methodology.
Job Description & Responsibilities
- Design and manage data platforms, including data storage, data processing, data security, and data quality.
- Implement cloud-based data platform solutions which have high availability, low latency, high performance, high efficiency and optimal cost
- Design, develop, and maintain scalable and reliable data pipelines and architectures that can handle large volumes and variety of data from multiple sources
- Research and evaluate new technologies and tools for data engineering and recommend solutions that can improve performance, efficiency, and scalability.
- Skilled in ELT/ETL processes, data modelling, and metadata management, with a good grasp of IaC principles preferably with Databricks/Snowflake and/or Spark with Lakehouse Architecture
- Deep familiarity with modern large datasets ,data architectures, including data lakes, data warehouses, and real-time data processing systems and data processing (real-time and batch) at large scale.
- Enable and support self-serve data engineering solutions for both the wider data team and engineers
- Proactively ensure the security and integrity of the platform and data feeds and take part in security and privacy design reviews.
- Experience with Data Governance and Data Catalog concepts such as Data lineage, Data Quality, Data Classification, Role based and Attribute Based Access Control etc.
- Ability to write and review technical documentation, ensuring clarity and accuracy
What we are looking for
- Degree or equivalent, with at least 12-15 Years of experience
- A trusting, resourceful, kind team player personality
- At-least 6 years of experience Databricks / Snowflake
- At-least 6 years of Experience in other data engineering tools / frameworks such as Spark, Hadoop, Airflow on AWS/GCP/Azure cloud
- Proficient with Spark, Python and SQL, understand software engineering principles with a good grasp of distributed job/query optimization (execution plans, partitioning, and auto-scaling)
- Strong knowledge of database technologies, such as Oracle, Microsoft SQL Server, PostgreSQL, and MongoDB
- Skills in operating in a global environment, demonstrating a proactive and self-directed work culture
- Experienced in developing junior data talent, mentoring junior engineers, and effectively steering projects to align with business goals while seeking growth opportunities.
- Excellent communication skills with the ability to convey complex technical concepts to diverse stakeholders and foster collaborative problem-solving environment
- Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives
- Demonstrating creative, critical thinking & troubleshooting skills
PREFERRED SKILLS
Delta Lake,Data Platform, Unity Catalog, PySpark,Spark SQL, Scala, Cloud Services Platform (e.g., GCP, or AZURE, or AWS), and AGILE concepts
Basic Qualification :
- 12-15 years of overall experience
- Bachelors or Masters Degree in Engineering or related field
Employment Type: Full Time, Permanent
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17% candidates got the interview through other sources.
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What people at Omnicell are saying
What Omnicell employees are saying about work life
based on 18 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Omnicell Benefits
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