Chief Data Architect

1 day ago

Amrāvati, Maharashtra, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000

Job Opportunity:

We are seeking a seasoned Data Engineer to lead our big data engineering team, collaborating closely with clients and team members to understand their requirements and develop architectures that meet their needs.

Main Responsibilities:

  • Design and implement data pipelines for new sources, including data transformations within the Data Lake, and work on GraphQL and NoSQL databases.
  • Create pipelines to bring in a variety of 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 needs.
  • Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
  • Manage dependencies and challenges (risks) and escalate critical issues to the Sponsor and/or Head of Data Engineering.
  • Ensure timelines (milestones, decisions, and delivery) are managed and value of initiative is achieved, without compromising quality.
  • Ensure final handover of initiative to business-as-usual processes and carry out a post-implementation review to ensure initiative objectives have been delivered.

Requirements:

  • Excellent problem analysis skills.
  • Good experience with 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 and experience with Cosmos DB, Restful APIs, and GraphQL.
  • 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.
  • Ability to debug, fine-tune, and optimize large-scale data processing jobs.

Your Benefits:

  • Develop your technical expertise in big data engineering.
  • Work in a collaborative environment with experienced professionals.
  • Contribute to developing innovative solutions for complex business problems.

About the Role:

This role involves leading a team of engineers to design, implement, and maintain data pipelines. The ideal candidate will have experience in cloud infrastructure, big data technologies, and agile methodologies.

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