Senior Data Engineer

Winspire Tech; Visakhapatnam; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Winspire Tech in Visakhapatnam, India seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines for analytics, reporting, and AI/ML use cases. You will focus on high-quality ingestion, transformation, and consumption while ensuring performance and security.

The role involves building batch and streaming pipelines, data ingestion frameworks, data quality, and collaboration with architects and analytics teams to deliver end-to-end solutions.

Qualifications

• 6-10 years of experience in data engineering roles.
• Strong analytical, problem solving, and communication skills.
• Experience working in Agile / product based delivery models.
• Exposure to large scale enterprise data ecosystems is a plus.

Responsibilities

• Design, develop, and optimize batch and streaming data pipelines.
• Build scalable data ingestion and transformation frameworks using modern data architectures.
• Ensure data quality, reliability, and performance across data platforms.
• Implement and manage data models to support analytics and downstream consumption.
• Collaborate with architects, analytics teams, and AI engineers for end to end solutions.
• Support monitoring, troubleshooting, and performance tuning of data workloads.
• Follow enterprise SDLC, DevSecOps, and data governance standards.

Skills

Python

SQL

ETL/ELT pipelines

Data modeling

Data warehousing concepts

Spark

Databricks

Relational databases

Cloud data stores

Tools

Airflow

Kafka

CI/CD

Infrastructure as code

Databricks

Job description

Role Summary

The Senior Data Engineer is responsible for designing, building, and maintaining scalable, reliable data pipelines and platforms that support analytics, reporting, and AI/ML use cases. The role focuses on high quality data ingestion, transformation, and consumption while ensuring performance, security, and enterprise compliance standards.

Key Responsibilities

• Design, develop, and optimize batch and streaming data pipelines.

• Build scalable data ingestion and transformation frameworks using modern data architectures.

• Ensure data quality, reliability, and performance across data platforms.

• Implement and manage data models to support analytics and downstream consumption.

• Collaborate with architects, analytics teams, and AI engineers for end to end solutions.

• Support monitoring, troubleshooting, and performance tuning of data workloads.

• Follow enterprise SDLC, DevSecOps, and data governance standards.

Required Technical Skills

• Programming: Python, SQL

• Data Engineering: ETL/ELT pipelines, data modeling, data warehousing concepts

• Big Data / Platforms: Spark, Databricks or similar distributed processing frameworks

• Databases: Relational and cloud based data stores

Good to Have Skills

• Experience with cloud data platforms (AWS / Azure / GCP)

• Knowledge of streaming technologies (Kafka or similar)

• Familiarity with orchestration tools (Airflow or equivalent)

• Understanding of data governance, lineage, and metadata concepts

• Exposure to CI/CD and infrastructure as code practices

Experience & Qualifications

• 6-10 years of experience in data engineering roles

• Strong analytical, problem solving, and communication skills

• Experience working in Agile / product based delivery models

• Exposure to large scale enterprise data ecosystems is a plus