Highly Skilled Data Engineer Wanted

1 week ago

Bhavnagar, Gujarat, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Key responsibilities include managing data engineering teams, developing architectures, and implementing data models to meet business needs. You will design data pipelines for new sources, transform data within the data lake, implement GraphQL, work with NoSQL databases, CI/CD, and deliver data as per requirements.

You will create data pipelines to bring in various data from multiple sources within the organization as well as from social media and public data sources. Effective collaboration with cross-functional teams is essential to source data and make it available for downstream consumption.

A strong solution design to meet business objectives is crucial, ensuring regular communication with key stakeholders, understanding 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.

Dependencies and challenges (risks) must be escalated and managed, ensuring timelines (milestones, decisions, and delivery) are managed and value of initiative is achieved without compromising quality.

An appropriate communications plan must be in place for initiative execution and delivery, both internal and external.

The ideal candidate will possess the following competencies & personal traits:

  • Work as a team player
  • 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
  • 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

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