Data Engineer Azure NoSQL and Big Data Technologies
Data Engineer Azure NoSQL and Big Data Technologies
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Purpose:The data engineers role is deliveryfocused driving data pipeline and data product delivery through data architecture modeling design and development of professionalgrade solutions onpremise and/or Microsoft Azure cloud. The data engineer will partner with data scientists and statisticians across Elanco global business functions to prepare and transform their data into data products that further drive scientific and/or business knowledge discovery insights and forecasting. This role will involve working with teams spread globally across different time zones and requires a sound understanding of data management data governance master data management and knowledge graph representation.
Role & Responsibilities:
Data Engineering Expertise:
- Provide data engineering subject matter expertise and handson data capture ingestion curation and pipeline development expertise on Azure.
- Develop and deliver highly performant scalable robust and secure Azure cloud data pipelines enabling AI/ML/DeepLearning Advanced Analytics Enterprise Collaboration Microservices IoT and Serverless Compute.
Technical Solutions:
- Provide expert data PaaS on Azure storage big data platform services serverless architectures Azure SQL DB NoSQL databases and secure automated data pipelines.
- Participate in data/datapipeline architectural discussions to build cloudnative solutions or migrate existing data applications from onpremise to Azure platform.
- Perform current state ASIS and future state ToBe analysis.
Community and Collaboration:
- Participate and help develop data engineering community of practice as a global goto expert panel/resource.
- Work collaboratively and use sound judgment in developing robust solutions while seeking guidance on complex problems.
Continuous Improvement:
- Develop and evolve new or existing data engineering methods and procedures to create possible alternative agile solutions to moderately complex problems.
- Stay abreast with new and emerging data engineering technologies tools methodologies and patterns on Azure and other major public clouds.
Technical Skills:
Categorywise:
Programming and Frameworks:
- Proficiency in programming languages such as PowerShell C# Java Python Scala SQL and Big Data technologies (Hadoop Spark/SparkSQL Hive).
- Experience with streaming technologies like Kafka EventHub.
Azure Cloud Services:
- Experience with Azure native data/bigdata tools and services including Storage BLOBS ADLS Azure SQL DB COSMOS DB NoSQL SQL Data Warehouse Data Bricks Stream Analytics and PowerBI.
- Knowledge of distributed systems.
Automation and DevOps:
- Handson experience with Azure Data Factory Windows/Linux virtual machines Docker Container and Kubernetes Cluster Management Autoscaling Azure Functions Serverless Architecture ARM Templates Logic Apps and Data Factory.
- Familiarity with Azure network security group key management service etc.
DaytoDay Activities:
- Developing and maintaining data pipelines and data products.
- Collaborating with data scientists and statisticians to transform data into actionable insights.
- Participating in architectural discussions and performing ASIS and ToBe analysis.
- Staying updated with the latest advancements in data engineering technologies.
- Working independently and collaboratively on new database technologies and integrated services in Azure and GCP.
Qualifications:
- Bachelors or Masters degree in Computer Science Information Technology or a related discipline.
Experience:
- Minimum of 47 years of IT experience with at least 2 years of Azure experience.
- Proven experience in data pipeline and data product design development and delivery on Azure.
- Sound problemsolving skills in developing data pipelines using Data Bricks Stream Analytics and PowerBI.
Soft Skills:
- Strong communication and leadership skills.
- Excellent interpersonal and collaboration skills.
- Ability to work under pressure and meet tight deadlines.
- Positive attitude and strong work ethic.
- A commitment to continuous learning and professional development.
SYNECHRONS DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.
All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Employment Type
Full-Time
