
Senior Big Data Architect
6 days ago
- We are seeking a highly skilled and experienced Data Engineer to join our team.
- The ideal candidate will have a strong background in data engineering tools and platforms, including Spark (Scala) and Hadoop.
- They will also have experience in building large-scale data pipelines and data-centric applications using distributed storage platforms such as HDFS, S3, NoSQL databases (Hbase, Cassandra, etc.) and distributed processing platforms like Hadoop, Spark, Hive, Oozie, and Airflow in a production setting.
Key Responsibilities:
- Partner with cross-functional teams to design and implement complex data processing pipelines.
- Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- Collaborate with clients to advise and educate them on how to use different distributed storage and computing technologies from the plethora of options available.
Required Skills and Qualifications:
- Hands-on experience with data modeling and data engineering tools and platforms.
- Strong understanding of data security strategy and data-driven approaches.
- Ability to build and operate data pipelines and maintain data storage within distributed systems.
- Experience working in cloud environments.
Benefits:
- Opportunity to work with a talented team of professionals.
- Chance to develop and improve skills in data engineering and related areas.
- Competitive compensation package.
Others:
- Must Have: Data Catalog - Collibra Catalog / Ab Initio / Apache Atlas, Data Quality Framework Experience - Great Expectations / Collibra DQ / Ab Initio, Data Lineage - Apache Atlas / Collibra.
- Good To Have: Data Security / Encryption / Tokenization - Apache Ranger, Data Pipelines Orchestration, Data Modelling.
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