Senior Data Engineer Pan India Hybrid

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 20 hours ago
Vacancies: 1 Vacancy

Job Summary

Work Location: Pan India
Work Mode: Hybrid (2 3 Days WFO per Week)
Shift Timing: 11:00 AM 9:00 PM
Mode of Interview: Face-to-Face & Video Interview

Job Description

We are looking for a highly skilled Senior Data Engineer responsible for designing implementing optimizing and maintaining large-scale data solutions across cloud and on-premise environments. The ideal candidate will have strong expertise in Python SQL Azure and a solid understanding of data warehouse concepts. Experience in Snowflake cloud-based data warehousing and the Retail/CPG domain will be an added advantage.

Roles & Responsibilities 1. Data Engineering & Development
  • Develop maintain and optimize data pipelines and workflows.

  • Write high-quality code using Python SQL and Object-Oriented Programming principles.

  • Work across all phases of SDLC including design development testing and implementation.

  • Build and maintain enterprise-level Data Warehouses and Data Marts.

2. Data Warehousing & Cloud
  • Strong understanding of data warehousing concepts and architecture.

  • Experience working on cloud-based data warehousing environments (Azure preferred).

  • Integrate data solutions with Azure services such as ADF Blob Storage etc.

  • Work with Snowflake BigQuery SQL Server MySQL Oracle DB2 etc.

3. Snowflake Engineering & Administration (Desired)
  • Perform Snowflake performance tuning and cost optimization.

  • Manage metadata monitoring and usage tracking within Snowflake.

  • Implement and manage RBAC (roles users access controls).

  • Troubleshoot data ingestion transformation and query issues.

  • Automate administrative tasks using Python or DBT.

4. Additional Technical Responsibilities
  • Work with scripting technologies such as React JS (good to have).

  • Collaborate with architecture product and business teams to understand data requirements.

  • Support large-scale data transformations and ensure high data quality.

  • Follow Agile or Waterfall methodologies as required.

Mandatory Skills
  • Python

  • SQL

  • Object Oriented Programming

  • Azure (cloud & data engineering experience)

Desired Skills
  • Snowflake

  • Azure ADF

  • DBT

  • Experience with BigQuery Oracle SQL Server MySQL DB2

Work Location: Pan India Work Mode: Hybrid (2 3 Days WFO per Week) Shift Timing: 11:00 AM 9:00 PM Mode of Interview: Face-to-Face & Video Interview Job Description We are looking for a highly skilled Senior Data Engineer responsible for designing implementing optimizing and maintaining large-s...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala