Full Job DescriptionThe Senior Data Engineer will be working collaboratively with business and technical team members to build data pipelines and stage high quality data for consumption by business analysts, data scientists and visualization developers. You will work with product owners, architects, developers to build real time/ near real time scalable data integration solutions to enable our Data & Analytics platform in providing relevant, timely and accurate data to self-service BI tools, web platforms via APIs and Data science tools.
This position requires the candidate to be a team player and results-oriented. High sense of integrity, good communication skills, great attention to detail, and proven track record to work with different partners and technologies are essential qualities for a successful candidate.
Responsibilities:
Responsible for the building, deployment, and maintenance of critical scalable Data Pipelines to assemble large, complex sets of data that meet non-functional and functional business requirements
Work closely with SMEs, Data Modeler, Architects, Analysts and other team members on requirements to build scalable real time/near real time/batch data solutions.
Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, and loading into Data Lake/Cloud Data Warehouse/MPP (Snowflake/Redshift/similar Technologies ) .
Owns one or more key components of the infrastructure and works to continually improve it, identifying gaps and improving the platform’s quality, robustness, maintainability, and speed.
Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members.
Interacts with technical teams across Cepheid and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.
Performs development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions.
Keep up with current trends in big data and Analytics , evaluate tools and pace yourself for innovation.
Mentor Junior engineers ,create necessary documentation and Run-books while still being able to deliver on goals Requirements:
Bachelor’s degree in the areas of Computer Science, Engineering, Information Systems, Business, or equivalent field of study required
8+ years of experience in working with data solutions.
3+ years of experience coding in Python, or Scala or similar scripting language.
3+ years of experience in developing data pipelines in AWS Cloud Platform (preferred), Azure, or Snowflake at scale.
2+ years Experience in designing and implementing data ingestion with real-time data streaming tools like Kafka, Kinesis or any similar tools. SAP/Salesforce or other cloud integrations are preferred.
2+ years experience working with MPP databases such as Snowflake (Preferred) , Redshift or similar MPP databases.
1+ years experience working with Serverless ETL processes (Lambda, AWS Glue, Matillion or similar)
1+ years experience with big data technologies like EMR, Hadoop, Spark, Cassandra, MongoDB or other open source big data tools.
Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Experience designing, documenting, and defending designs for key components in large distributed computing systems
Demonstrated ability to learn new technologies quickly and independently
Demonstrated ability to achieve stretch goals in a very innovative and fast paced environment
Ability to handle multiple competing priorities in a fast-paced environment
Excellent verbal and written communication skills, especially in technical communications
Strong interpersonal skills and a desire to work collaboratively
Experience participating in an Agile software development team, e.g. SCRUM
When you join us, you’ll also be joining Danaher’s global organization, where 69,000 people wake up every day determined to help our customers win. As an associate, you’ll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful Danaher Business System tools and the stability of a tested organization.
At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
If you’ve ever wondered what’s within you, there’s no better time to find out.