Senior/Lead Data Engineer - Big Data (7-14 yrs)

These skills will help you succeed in this role :

- Having 6+ Years of experience in an application development team with hands-on architecting, designing, developing and deployment skillset.

- Have demonstrated ability to translate business requirements in a technical design and through to implementation.

- Experienced Subject Matter Expert in designing & architecting BigData platforms services, and systems using Java/python, SQL, Databricks, Snowflake, and cloud-native tools on Azure and AWS.

- Experience in event-driven architectures, message hub, MQ, Kafka.

- Experience in Kubernetes, ETL tools, Data as a Service, Star Schema, Dimension modelling, OLTP, ACID and data structures is desired.

- Proven Experience with Cloud and Big data platforms, building data processing applications utilizing spark, Airflow, Object storage, etc.

- Ability to work in an on-shore/off-shore model working with development teams across continents.

- Use coding standards, secured application development, documentation, Release and configuration management and expertise in CI/CD.

- Well-versed in SDLC using Agile Scrum.

- Plan and execute the deployment of releases.

- Ability to work with Application Development, SQA, and Infrastructure team.

- Strong leadership skills, analytical problem-solving skills along with the ability to learn and adapt quickly

- Self-motivated, quick learner and creative problem solver, organized, and responsible for managing a team of dev engineers.

Education & Preferred Qualifications :

- Bachelor's degree and 6 or more years of experience in Information Technology.

- Strong team ethics and team player.

- Cloud certification, Databricks, or Snowflake Certification is a plus.

- Experience in evaluating software estimating cost and delivery timelines and managing financials.

- Experience leading agile delivery & adhering to SDLC processes is required.

- Work closely with the business & IT stakeholders to manage delivery.