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2 Weeks ago

Data Engineer

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70000 - 80000 Indian Rupee - Monthly
Information Technology
Full-Time
CareerCraft Company

Overview

Key Responsibilities

  • Lead technical discussions with customers during pre-sales, delivering technical proposals, architecture plans, and estimations.
  • Drive architectural review discussions with customers and auditors to ensure alignment with best practices.
  • Develop detailed case studies on existing projects and reusable assets.
  • Oversee the entire product lifecycle, ensuring seamless communication with delivery teams to improve architecture.
  • Provide performance optimization guidance for large-scale data warehouse (DW) projects, particularly on Petabyte-scale systems.
  • Manage migration of source systems, including CSV, SQL, Oracle, MongoDB, SAP BW, and SAP Hana.
  • Lead efforts to optimize performance and cost for client projects.
  • Implement robust data security protocols, ensuring encryption and decryption of Personally Identifiable Information (PII) data.
  • Utilize Apache Airflow and scripting languages (Java/Python) for workflow management and process optimization.

Preferred Skills

  • Strong problem-solving and communication skills.
  • Knowledge of Machine Learning practices and data manipulation techniques.
  • Experience with at least one reporting tool and access control mechanisms.

Job Type: Full-time

Pay: ₹70,000.00 - ₹80,000.00 per month

Benefits:

  • Provident Fund
  • Work from home

Schedule:

  • Monday to Friday
  • Morning shift

Supplemental Pay:

  • Performance bonus

Education:

  • Bachelor's (Required)

Experience:

  • Google Cloud Platform (GCP): 10 years (Required)
  • Big Data ETL Processes using Java/Python: 10 years (Required)
  • Database Management(CSV,SQL,Oracle,MongoDB,SAP BW,SAP Hana): 10 years (Required)
  • Workflow Tools (Apache Airflow): 10 years (Required)
  • Data Security(PII (Personally Identifiable Information): 10 years (Required)
  • SQL and Query Optimization: 10 years (Required)
  • Reporting Tools: 10 years (Required)
  • BAs, Data/ML Engineers, and other stakeholders: 10 years (Required)
  • Team Collaboration: 10 years (Required)
  • Machine Learning Knowledge: 10 years (Required)
  • Access Control Mechanisms: 10 years (Required)

Location:

  • Remote (Required)

Work Location: Remote

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