Chief Data Architect

7 days ago

Madurai, Tamil Nadu, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Job Opportunity

A senior data engineer will lead a team of big data engineers, working closely with stakeholders to develop architectures that meet their needs. The role requires technical leadership, guidance, and collaboration to source data and make it available for downstream consumption.

Main Responsibilities:

  • Develop and implement pipelines to bring in various data from multiple sources within the organization and external sources.
  • 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 requirements.
  • Manage dependencies and challenges (risks) and escalate critical issues to key stakeholders.
  • Ensure timelines (milestones, decisions, and delivery) are managed and value of initiative is achieved, without compromising quality.
  • Develop and implement standardized Data Model, single view of customer, and data pipelines for new sources.
  • Implement graphql, work on no-sql database, CI/CD, and data delivery as per business requirements.

Required Skills and Qualifications:

  • Excellent problem analysis skills.
  • Good in Azure Databricks platform.
  • 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 API's, 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.

Benefits:

The successful candidate will be given the opportunity to develop their skills in a dynamic environment and contribute to the growth of the company.

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