Senior Data Analyst

2 days ago

Kurnool, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,39,80,800 - ₹ 2,09,71,520
Job Title

We are seeking a highly skilled Data Engineer to join our team. This is an exciting opportunity to work on large-scale data pipelines and drive business growth.

  • Key Responsibilities:
    • Develop, construct, test and maintain data acquisition pipelines for large volumes of structured and unstructured data.
    • Build large and complex datasets based on business requirements.
    • Construct 'big data' pipeline architecture.
    • Identify opportunities for data acquisition via working with stakeholders and business clients.
    • Translate business needs to technical requirements.
    • Leverage a variety of tools in the Google Cloud Ecosystem such as Python, Data Flow, DataStream, CDC (Change Data Capture), Cloud Functions, Cloud Run, Pub Sub, BigQuery, Cloud Storage to integrate systems and data pipelines.
    • Use logs & alerts to effectively monitor pipelines.
    • Use SAP SLT to replicate SAP tables to Google Cloud using SLT.
    • Develop JSON messaging structure for integrating with various applications.
    • Leverage DevOps and CI/CD practices (GitHub, Terraform) to ensure the reliability and scalability of data pipelines.
    • Partition/Cluster and retrieve content in Big Query and use IAM roles & Policy Tags to secure the data.
    • Use roles to secure access to datasets, authorized views to share data between projects.
    • Design and build an ingestion pipeline using Rest API.
    • Recommends ways to improve data quality, reliability, and efficiency.
  • Requirements:
    • Requires 5-7 years of experience in a data engineering role – with core GCP experience of 3-4 years.
    • Work time will be in CST, until 2 am IST on most days.
    • 1-2 times in a month, the resource might be needed to stretch their work hours by 1-2 hours.

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