Data & Analytics Engineer Job in Cloud Kinetics Technology Solutions Private Ltd

Qualification

• Bachelor s level technical degree required
• Computer Science or Math background preferred
• Master s degree desired
  

Experience

5+ Years

Mandatory Job Requirements

• Core professional expertise in: Platform Architecture, Data Pipelines Architecture, Infrastructure Deployment and Management
• 5+ years of enterprise grade data engineering, pipeline and data lake/warehouse architecting
• Ability to envision & implement the complete source > analytics > visualization (insights) > predictive _x009d_ flow.
• Experience in any of big data technologies and frameworks: Spark, Spark Streaming, Kafka/ Kafka Streams, Hadoop, Yarn, HDFS, Hive, Airflow, Jupyter, Parquet, ORC, AVRO, Lambda, Kappa, Data Lake.
• Familiar with NoSQL Databases, Data platform and Machine learning and have experience with JVM based technologies and frameworks
• Experience in at least one modern data visualization tool like Tableau, PowerBI, QuickSight etc.
• Possess advanced knowledge in at least one programming language such as Python, Scala, R as well as SQL & Bash.
• Background with different platforms and a strong focus on backends / Big Data / Analytics Solutions
• Experience with building traditional Cloud Data Warehouses, Data Lakes and worked on previous projects with Containers and Resource Management systems: Docker, Kubernetes, Yarn.
• Designed and implemented a set of ingestion workflow to parse, transform and validate input data
• Provide technical guidance for the support team and communicate with customer on every phase.
• Pay strong attention to detail and deliver work of high standard
• Result-driven and show high level of resilience and enjoy finding creative solutions to problems.
• Experience architecting highly available systems that utilize load balancing, horizontal scalability and high availability
• Experience in a customer facing role driving discussions with business and technical personnel regarding design, development and architecting best practices
• Able to work in a diverse team

Must have skills

• Architecting and developing customer data analytics flows to be cloud optimized
• Working as a technical leader alongside customer business, development and infrastructure teams
• Advising and implementing best practices for cloud-native solutions
• Working as both an infrastructure and application architecture specialist
• Demonstrated ability to think strategically about business, product, and technical challenges
• Verbal and written communications skills and ability to work effectively across organizations
• Min. of Architect level certifications from one of more cloud providers (AWS, GCP, Azure) is preferred

Good to have skills

Help customers architect scalable, modernized, highly available application solutions that leverage cloud
technologies

Team Cloud Kinetics

At Cloud Kinetics, we believe that the right digital strategy can help companies increase their competitive advantage and enhance customer experience. That is where we have built our core expertise. As a certified MSP, we tirelessly work towards accelerating our clients business transformation journeys by using cutting-edge platform-driven services. We do this in an agile, responsive and scalable manner, ensuring a significant positive impact on business with minimal disruption. Feel free to Contact our Cloud Experts for a non-obligatory discussion. Write to us at [email protected]