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Big Data Architect

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Job Summary:

As a seasoned data engineering professional, you will be responsible for leading a team of experts in the field of big data. Your primary goal will be to develop architectures that meet the needs of clients and team members alike.

In this role, you will work closely with various stakeholders to set up the Data Lake on Cloud and implement standardized Data Models. You will also be responsible for developing data pipelines for new sources, data transformations within the Data Lake, implementing graphql, working on No SQL databases, CI/CD, and data delivery as per business requirements.

  • Data Engineering: Set up the Data Lake on Cloud and implement standardized Data Models.
  • Data Pipelines: Develop data pipelines for new sources, data transformations within the Data Lake, and implement graphql.
  • No SQL Databases: Work on No SQL databases, CI/CD, and data delivery as per business requirements.
Required Skills and Qualifications:

To be successful in this role, you will need to possess the following skills and qualifications:

  • Team Player: Excellent collaboration and communication skills are essential for success in this role.
  • Problem Analysis: Strong problem analysis skills are required to identify and resolve complex technical issues.
  • Cloud Infrastructure: Experience with at least one Cloud Infra provider (Azure/AWS) is necessary.
  • Data Processing: Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataframe API) or Hive query language (HQL) is required.
  • Streaming Data Pipeline: Experience in building streaming data pipeline using Apache Spark Structured Streaming or Apache Flink on Kafka & Delta Lake is necessary.
  • NOSQL Database: Knowledge of NOSQL databases and experience with Cosmos DB, Restful APIs, and GraphQL are beneficial.
  • ETL Processing Tools: Knowledge of Big data ETL processing tools, Data modelling, and Data mapping are required.
  • Hive and Hadoop File Formats: Experience with Hive and Hadoop file formats (Avro / Parquet / ORC) is necessary.
  • Scripting: Basic knowledge of scripting (shell/bash) is required.
  • CI CD Tools: Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo, and Azure Dev-ops is necessary.
  • DevOps Practices: Basic understanding of DevOps practices using Git version control is required.

This is an exciting opportunity for a skilled data engineer to join our team and contribute to the development of innovative data solutions.