Data Engineer Expert
7 days ago
About Ciklum
Ciklum, a custom product engineering company, is seeking a highly skilled Data Engineer Expert to join our team in India.
We are a global team of over 4,000 developers, consultants, analysts, and product owners who engineer technology that redefines industries and shapes the way people live.
About the Role
As a Data Engineer Expert, you will be part of a cross-functional development team engineering experiences of tomorrow.
Key Responsibilities
- Build, deploy, and maintain mission-critical analytics solutions that process data quickly at big data scales.
- Contribute design, code, configurations, and documentation for components that manage data ingestion, real-time streaming, batch processing, data extraction, transformation, and loading across multiple data storages.
- Own components of the engineering infrastructure and work to continually improve it, identifying gaps and improving the platform's quality, robustness, maintainability, and speed.
- Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members.
- Interact with engineering teams and ensure that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.
- Perform development, QA, and dev-ops roles as needed to ensure total end-to-end responsibility of solutions.
- Work directly with business analysts and data scientists to understand and support their use cases.
- Contribute to the Unit's activities and community building, participate in conferences, provide excellence in exercise, and best practices.
- Help in sales activities, customer meetings, and digital services.
Requirements
We know that sometimes you can't tick every box. We would still love to hear from you if you think you're a good fit.
- 5+ years of experience coding in SQL, Java, Python, Scala, with solid CS fundamentals including data structure and algorithm design.
- 3+ years contributing to production deployments of large backend data processing and analysis systems as a team lead.
- 2+ years of hands-on implementation experience working with a combination of the following technologies: Hadoop, Map Reduce, Pig, Hive, Impala, Spark, Kafka, Storm, SQL, and NoSQL data warehouses such as HBase and Cassandra.
- 3+ years of experience in cloud data platforms (AWS, Azure, GCP).
- Detailed knowledge and understanding of Data Governance process definition, development, and deployment. This should include data quality, security, and other data management standards and practices.
- Demonstrable experience in leading development teams, including managing the team's backlog and assigning tasks to team members, leading on maintaining development standards, and the peer review process.
- Ability to work on and manage multiple projects simultaneously while adapting to changing priorities in a fast-paced environment.
- Knowledge of SQL and MPP databases (. Vertica, Netezza, Greenplum, Aster Data).
- Knowledge of professional software engineering best practices for the full software development life cycle.
- Knowledge of Data Warehousing, design, implementation, and optimization.
- Knowledge of Data Quality testing, automation, and results visualization.
- Knowledge of BI reports and dashboards design and implementation (Power BI, Tableau).
- Knowledge of development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience participating in an Agile software development team (. SCRUM).
- Experience designing, documenting, and defending designs for key components in large distributed computing systems.
- A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects.
- Demonstrated ability to learn new technologies quickly and independently.
- Understanding of cloud infrastructure design and implementation.
- Undergraduate degree in Computer Science or Engineering from a top CS program required. Masters preferred.
- Experience with supporting data scientists and complex statistical use cases highly desirable.
Desirable
- Experience in data science and machine learning.
- Experience in backend development and deployment.
- Experience in CI/CD configuration.
- Good knowledge of data analysis in enterprises.
- Experience with Databricks, Snowflake.
- Experience with Kubernetes.
What's in it for you
- Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation.
- Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses, and company-paid certifications.
- Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally.
- Flexibility: hybrid work mode at Chennai or Pune.
- Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally, and fulfill your potential.
- Global impact: work on large-scale projects that redefine industries with international and fast-growing clients.
- Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company, and regular team-building events.
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