
Senior Lead Data Architect
4 days ago
The Data Engineering team is seeking a highly skilled professional to lead the development of our data lake on cloud and implement a standardized data model. The successful candidate will work closely with clients and team members to understand their requirements and develop architectures that meet their needs.
Key Responsibilities:
- Develop data pipelines for new sources, data transformations within the data lake, implementing GraphQL, working on NoSQL databases, CI/CD, and data delivery as per business requirements.
- Collaborate with cross-functional teams to source data and make it available for downstream consumption.
- Work with the team to provide an effective solution design to meet business needs.
Required Skills and Qualifications:
Technical Requirements- Experience with at least one Cloud Infra provider (Azure/AWS).
- Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataframe API) or Hive query language (HQL).
- Experience in building streaming data pipeline using Apache Spark Structured Streaming or Apache Flink on Kafka & Delta Lake.
- Knowledge of NOSQL databases, good to have experience in Cosmos DB, Restful APIs, and GraphQL.
- Knowledge of Big data ETL processing tools, Data modelling and Data mapping.
- Experience with Hive and Hadoop file formats (Avro / Parquet / ORC).
- Basic knowledge of scripting (shell / bash).
- Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL/document databases, flat files.
- Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
- Basic understanding of DevOps practices using Git version control.
- Ability to debug, fine tune and optimize large scale data processing jobs.
- Strong problem analysis skills.
- Excellent communication and teamwork skills.
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