Sr Lead Data Engineer - L4
Sr Lead Data Engineer - L4
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Salary Not Disclosed
1 Vacancy
Job Description
Responsibilities:
- Demonstrate a strong sense of ownership and responsibility with release goals. This includes understanding requirements technical specifications design architecture implementation unit testing builds/deployments and code management.
- Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards.
- Build and maintain the environment for speed accuracy consistency and up time
- Hands-on position requiring strong analytical architecture development and debugging skills that include both development and operations.
- Attaint in-depth Functional knowledge of the domain that we are working on.
- Understand Incident Management Change Management and Problem Management root cause analysis.
- Ensure data governance principles adopted data quality checks and data lineage implemented in each hop of the Data.
- Be in tune with emerging trends cloud technologies & Big Data.
- Should drive and execute complex technical requirements.
- Demonstrate excellent verbal and written communication skills.
- Collaborate with team members across the globe.
- Interface with cross functional teams and downstream applications as needed.
- Be a self-starter that is also an excellent team player.
- Follow agile best practices. Experienced in working with global teams.
- Regularly evaluate cloud applications hardware and software.
- Work closely with cyber security team to monitor the organizations cloud policy.
- Focus on building a team culture that is based on trust. Inspire your team member so that they focus on continuous growth.
What Were Looking For:
- Minimum 10 years of working experience in Technology (application development and production support).
- 5 years of experience in development of pipelines that extract transform and load data into an information product that helps the organization reach its strategic goals.
- Minimum 3 years of experience in developing & supporting ETLs and using Python/Scala in Databricks/Spark platform.
- Experience with Python Spark and Hive and Understanding of data-warehousing and data modeling techniques.
- Knowledge of industry-wide visualization and analytics tools (ex: Tableau R)
- Strong data engineering skills with AWS cloud platform
- Experience with streaming frameworks such as Kafka
- Knowledge of Core Java Linux SQL and any scripting language
- Experience working with any relational Databases preferably Oracle.
- Experience in continuous delivery through CI/CD pipelines containers and orchestration technologies.
- Experience working in an Agile development environment.
- Experience working with cross-functional teams with strong interpersonal and written communication skills.
- Candidate must have the desire and ability to quickly understand and work within new technologies
Employment Type
Full-time
