
Technical Data Engineer
4 days ago
If you are passionate about playing a key role in the success of a multinational banking and financial service provider we
want to hear from you
Our client is a well-established brand in the banking and financial industry and they are looking for a passionate and driven
**Technical Data Engineer ** to
assist the Data Engineering Team’s operational and analytical needs.
This is an exciting opportunity to expand your skillset, and achieve job satisfaction and work-life balance.
A Senior Technical Data Engineer will work alongside Enterprise Data management (EDM), big data platform (Hadoop), Data Analytics, and engineering team to provide data-related support, data ingestion, and data interface for unstructured/structured data, data analytics, and data management. This person will also assist in building interfaces from various upstream systems and ingest the data into Microsoft SQL server 2019 / Cloudera Hadoop data store and build the enterprise visualization tool. This is a great opportunity for someone who is interested in an innovative group with the possibility of tremendous career development in data engineering, big data management, data analytics, and enterprise data visualization tool.
A little more about this role:
As our Technical Data Engineer, you will be instrumental in Enterprise Data management, Reference Data management, big data coding, and work in Hadoop-ecosystem. This is a brand-new position in Data Competency vertical.
- Perform extensive unstructured data ingestion into Hadoop.
- Strong knowledge of Microsoft SQL/PLSQL, Performance tuning, Anaconda, Data visualization BI tool, Python, SPARK, Java Scala, HIVE, and Beeline with hands-on experience.
- Ability to organize and lead meetings with business and operational data owners.
- Experience in integrating data processes with architecture requirements used across the company.
- Understand Hadoop-ecosystem and Data Engineering activities as well as loading data from several disparate datasets and documentation.
- Strong ability to troubleshoot and resolve data issues.
- Analytical skills to perform data profiling and data visualization.
- Experience in Agile and Waterfall framework.
- Work closely with engineering and operations to document business processes.
- Work independently and with team members to understand database structure and business processes.
- Help form data management and governance processes within the data engineering team
What you’ll need to have:
- Graduate degree in statistics, math, computer science, physics, or other technical related fields; a Master’s degree is preferred.
- Minimum of 10 years of working experience in technical data analysis, data science, or data warehousing with proven business analysis experience.
- Experience in at least one or more languages: SPARK, Java Scala, Python.
- Experience writing Java Scala, Python.
- Experience with Hadoop.
- Hands-on experience or knowledge of a minimum of one mainstream cloud infrastructure: AWS, MS Azure, and GCP; ability to implement a data lake.
- Good to have Hands-on experience on the Hadoop, Mango DB, SPARK, Scala, HIVE, Kafka, Beelin etc.
- Excellent communication skills.
- Passionate about data and analyzing business needs.
- Previous experience on a data team in an agile environment is preferred.
- Hands-on experience in the Hadoop ecosystem, HDFS, Hadoop, Spark, and Scala preferred.
- Develop in-depth plans and major milestones that must be approved by top management during the planning and design phases of the project.
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