• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 12th Apr 2022

·         Bachelors or Masters in a technology related field (e.g. Computer Science, Engineering etc.) required.

·         6+ years of related experience in data engineering, analysis, data warehouses, data lakes. Specialist understanding and experience of methodologies like data warehousing, data visualization and data integration.

·         Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), preferably Snowflake or other Cloud Data warehousing services.

·         Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers.

·         Practical experience delivering and supporting Cloud strategies including migrating legacy products and implementing SaaS integrations.

·         Proven experience in understanding multi-functional enterprise data, navigating between business analytic needs and data, and being able to work hand-in-hand with other members of technical teams to execute on product roadmaps to enable new insights with our data.

·         Crafted and implemented operational data stores, as well as data lakes in production environments.

·         Experience with DevOps, Continuous Integration and Continuous Delivery. Developing and deploying pipelines. Deploying within a cloud native infrastructure would be advantageous.

·         Able to work collaboratively with a geographically diverse team.

The Skills you bring

·         Proven track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design & coding best practices.

·         Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.

·         Ability to develop ELT/ETL pipelines to move data to and from Snowflake data store using combination of Python and Snowflake SnowSQL.

·         Knowledge and expertise of data modelling techniques and best practices (Relational, Dimensional), plus any prior experience with data modelling tools (eg. PowerDesigner).

·         Prior experience with Data ingestion tool sets (e.g Apache NiFi, Kafka) is advantageous.

·         Experience in working with AWS, MS Azure or other cloud providers. Experience with AWS services such as Lambda or S3, AWS Certification.

·         Experience in Data Architecture (Database design, performance optimization).

·         Prior experience in setting up reliable infrastructure (Hardware, Scalable data management systems, and frameworks) to perform data-related tasks, particularly with Kafka.

·         Understanding basics of distributed systems and Kubernetes.

·         Strong Focus on resiliency & reliability.

·         You have excellent written and oral communication skills.

·         Nice to have: Scripting/coding experience in any of the following: Python, Unix, Java.

The Value you deliver

·         Simplifying and effectively communicating technical challenges, solutions options, and recommendations to business partners and technology leadership.

·         Provide technical leadership and support in data and solutioning to team members (coaching others to their full potential).

·         Produce scalable, resilient, cloud-based systems design aligned with our long-term strategy.

·         Collaborate with chapter leads, squad leads, tech leads and architects on setting the technical roadmaps.

·         Recognizing opportunities to bring emerging technologies to deliver innovative solutions to meet business challenges.

·         Understand detailed requirements and deliver solutions that meet or exceed customer expectations.

·         Take ownership and accountability.