Senior Data Engineer

Spes Staffing Solutions; Indore District, Pune District, Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Spes Staffing Solutions seeks a Senior Data Engineer to build and optimize production data pipelines across cloud platforms. You will lead migrations, design data solutions with BigQuery/Snowflake and cloud services, and oversee BI tools like Looker or Mode to ensure data accuracy and performance.

The role requires hands-on ETL/ELT development using Talend, Python, SQL, Spark, or Kafka, plus collaboration with cross-functional teams via Git and Jira.

Qualifications

• 6+ years of data engineering experience required.
• Experience building production data pipelines on cloud platforms.
• Proficiency in Python, SQL, Spark or Kafka.
• Familiarity with BI platforms like Looker or Mode.

Responsibilities

• Build, maintain, and support production data pipelines and cloud data platforms.
• Lead cloud data migrations and platform modernization.
• Design and optimize cloud data solutions using BigQuery, Snowflake, and AWS/GCP/Azure.
• Manage BI and reporting platforms such as Looker/Mode, ensuring data accuracy and performance.
• Develop ETL/ELT pipelines using Talend, SQL, Python, and Spark/Kafka.
• Build data integrations and API integrations.
• Troubleshoot data quality, performance, and integration issues.
• Apply data warehousing and cloud cost optimization best practices.
• Deliver end-to-end technical solutions and collaborate with cross-functional teams using Git and Jira.
• Document data architectures using Confluence or Notion.

Skills

Data engineering

Cloud data platforms

ETL/ELT pipelines

Python

SQL

Spark/Kafka

Tools

BigQuery

Snowflake

AWS

GCP

Azure

Looker/Mode

Talend

Git

Jira

Job description

Job Title: Senior Data Engineer
Experience: 6 - 10 Years
Location: Pune / Bengaluru / Indore / Kolkata
Employment Type: C2H (Contract-to-Hire)

Roles & Responsibilities

• Build, maintain, and support production data pipelines and cloud data platforms.
• Lead cloud data migrations and platform modernization initiatives.
• Design and optimize cloud data solutions using BigQuery, Snowflake, and AWS/GCP/Azure.
• Manage BI and reporting platforms such as Looker/Mode, ensuring data accuracy and performance.
• Develop ETL/ELT pipelines using Talend, SQL, Python, and Spark/Kafka.
• Build marketing data integrations and internal/external API integrations.
• Troubleshoot data quality, performance, and integration issues.
• Apply data warehousing, dimensional modeling, and cloud cost optimization best practices.
• Deliver end-to-end technical solutions and collaborate with cross-functional teams using Git and Jira.
• Document data architectures and technical solutions using Miro, Lucidchart, draw.io, Confluence, or Notion.