Data Engineer II
3 weeks ago
Data Engineer II
Our team is looking for a highly motivated, self-driven , talented and experienced Data Engineer to join our dynamic team and drive the development and maintenance of our data platform.
If you have at least 3 years of experience as a Data Engineer, who works around problems and who isn’t shy of trying new technologies, then our team is looking for you Prior experience in working harmoniously with cross-geography team will be an added advantage. You should be equally appropriate in development, test, debugging roles and be ready to wear many hats. This team values “fail-fast” learners and technology enthusiasts who view learning new technology as a fun experience.
What you will do:
· Designing, developing, deploying and managing high volume/high transac tional mission critical SQL/No SQL systems.
· Design, build, and maintain scalable data pipelines and ETL processes Data Warehouse solution.
· Develop and optimize data models for efficient storage and retrieval.
· Implement and manage data lakes and warehouses using Spark, Scala, and Hive technologies.
· Demonstrate deep knowledge of optimization techniques and fine-tuning SQL queries and stored procedures.
· ETL pipeline orchestration and build using Airflow, Jenkins, Github actions etc..
· Lead database upgrade efforts in AWS environment
· Disaster Recovery planning and Implementation.
· Define actionable KPIs and configure monitoring/alerting.
Who you are:
· 3+ years’ experience with managing high transaction volume SQL/No SQL systems like SQL Server, MySQL, PostgreSQL, Teradata
· Proficient in writing complex SQL queries , joins and stored procedures.
· Proven experience as a Data Engineer or similar role.
· Experience with Spark batch and stream processing and exposure to other bigdata technologies.
· Strong experience in writing spark jobs in Scala and using Hive for data processing and analysis
· Strong understanding of data warehousing concepts and best practices.
· Proficiency in data modelling concepts and can define data elements, relationships, constraints, and rules to ensure data integrity and optimize data storage and retrieval.
· Experience with Apache Iceberg, Delta, and Parquet table formats.
· Excellent problem-solving skills and attention to detail.
· Ability to work independently and collaboratively in a fast-paced environment.
· Demonstrable experience and knowledge in DWH concepts and ETL tools like Informatica
· Strong experience, Strong aptitude for building robust, automated processes and tools
· Amazon AWS experience, particularly RDS, EC2 and Aurora
· Experience in a Linux environment, and familiarity writing shell scripts
· Able to troubleshoot and resolve complex production issues
· Experience with Python or other scripting language
· Experience with Grafana, Splunk, Datadog, CloudWatch or PagerDuty
· Amazon RedShift experience - Nice to have
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