WE ARE HIRING | DATA / ANALYTICS ENGINEER

Looking for an experienced Data / Analytics Engineer who can build scalable data pipelines, work across up-to-date cloud data platforms, and integrate AI/LLM capabilities into production workflows

We have an exciting long-term remote contract opportunity for you!

Role: Data / Analytics Engineer

Location: Remote – North America

Time Zone: North American time zones

Experience: 5+ Years

Engagement: Contractor – Long Term

What You'll Work On

• Build and maintain large-scale data ingestion and transformation pipelines

• Develop production workflows using Apache Airflow, AWS Step Functions, Glue, Athena, and PySpark

• Build and optimize dbt models on Snowflake

• Design and manage Apache Iceberg tables and lakehouse workflows

• Implement infrastructure as code using Terraform

• Optimize data pipelines for performance, reliability, and cost

• Integrate LLMs into production workflows using OpenAI, Anthropic, or AWS Bedrock

• Build LLM-powered features with structured outputs, tool calling, and evaluation workflows





• Manage data quality, monitoring, incident resolution, and automated testing

• Collaborate across data platforms, APIs, and application layers

Must-Have Skills

5+ years in Data Engineering or Analytics Engineering

Strong Python and advanced SQL

Hands-on experience with dbt and Apache Airflow

AWS data services: S3, Lambda, Glue, Step Functions, and related services

Experience with Snowflake, Spark/PySpark, and lakehouse technologies

Strong Terraform / Infrastructure-as-Code experience

Production LLM integration, including API handling, retries, rate limits, and cost optimization

Prompt engineering, LLM evaluation, and regression testing

Strong data modeling, pipeline reliability, and data-quality practices

Experience using AI coding agents such as Claude Code or similar

Nice to Have: SageMaker, Kinesis, Firehose, Kafka, Go, React, TypeScript, REST APIs, and PostgreSQL.

📌 DATA / ANALYTICS ENGINEER (Pune)
🏢 Digivance Solutions
📍 Pune