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Ferns N Petals
2 weeks ago
Job Description :
This position is for the Ecommerce division of FNP India, FNP UAE, FNP Singapore , & respectively).
The hire in this position will be a part of the core technology team participating in the continuous evolution of FNP resulting in systems on the bleeding edge of technology.
We are looking for a Data Engineering Leader with deep leadership skills and a vision to implement and try the latest cutting-edge technologies to find competitive edge in the market and bring operational efficiency within the organization.
The candidate should be a highly creative and technically skilled individual responsible for crunching data to drive business analytics.The ideal candidate should be a master on MySQL, MongoDB, Big Query, Kafka, Metabase, Athena, EMR, Spark, S3 and DMS.
Key Responsibilities :
- Migrating onpremises corporate applications and related data to the cloud.
- Build and maintain data pipelines and maintain databases.
- Design, build, test, and maintain data management systems.
- Develop, implement and optimize process in the data migration process.
- Performance data query focused delivery.
- Experience in Data Architecture, Collect Data, Conduct Research, improve skills on his own based on requirements.
- Should be able to analyze existing SQL platform data stabilize and improve performance.
- Develop Archival scripts, along with access to on demand for archived data.
- Monitoring pipelines performance for potential bottlenecks and resolving performance issues.
- Provide timely scheduled management reporting.
- Report status, intimate any risks identified with the task delivery to Engineering Manager
Desired Skills and Experience :
- Should have a working experience of 2+ years of experience in Pentaho.
- Should have an experience of 23 yrs on cloud data using technologies like MySQL, MongoDB, Big Query, Kafka, Metabase, Athena, EMR, Spark, S3.
- 2+ years of experience as a SQL developer or similar role.
- Fundamentals of distributed systems like Apache Hadoop, Apache Spark.
- Should be experienced in data structures, data modeling, data lakes, data architecture.
- Excellent understanding of SQL programming.
- Business intelligence and analytics.
- Visualization / big data analytics / dashboards like Metabase, Tableau.
- Knowledge of working with connectors
- REST, SOAP, FTP, HTTP, etc.
- Should be experienced with operating systems like UNIX, Linux, etc.
- Master in Migrating, Indexing, Performance, Partitioning, Archiving etc.
- Familiarity with the practical application of NoSQL / NewSQL databases.
- Sense of ownership and pride in your performance and its impact on the company's success.
- Good timemanagement skills.
- Debugging query performance.
- Ability to innovate, feasibility analysis, PoC execution and R&D. Ability to identify tools for future use.
- Should be able to do effort estimations.
- Strong mathematical, analytical and problemsolving techniques.
- Confidence to liaise with application developers and senior technology managers.
- Ability to work and thrive in a fastpaced environment, learn rapidly and master diverse database technologies.
- Ability to multitask and work under pressure.
- Must have experience in EMR, Spark, Big Query, MySQL, MongoDB, Kafka.
- Experience in Hadoop, AWS Athena, s3, AWS DynamoDB, AWS DMS, Any graph DB, AWS Lambda, Pyscript and AWS Firehose are good to have
Functional/Leadership Competencies :
- Excellent Communication Skills both verbal and written.
- Clarity of thought (Sequential/logical presentation explaining a subject matter).
- Adaptability/Flexibility to change (New ideas/ new concepts).
- Creativity (Initiatives for change/new ideas).
- Excellent analytical and quantitative skills; ability to make decisions backed up by data and metrics.
- Attention to detail with proven ability to manage multiple projects, competing for priorities simultaneously.
- Positive, proactive attitude with a willingness to anticipate and manage change in a highly dynamic environment.
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