Senior Data Engineer

Role Overview :
Neutrino Advisory

is looking for an experienced

Senior Data Engineer

with strong hands-on experience building and supporting data solutions on

AWS . The role requires solid experience with

Amazon Redshift, S3, AWS Glue, Amazon App Flow, Lambda, and SQL . You will work on data ingestion, transformation, data pipelines, data warehouse solutions, and integrations across different enterprise data sources.

This is a hands-on role, so we are looking for someone who is comfortable designing solutions as well as writing SQL/Python, building pipelines, troubleshooting issues, and optimizing existing data processes.

Experience with

AI/GenAI tools

is also important.

Experience with

Snowflake and Azure

is preferred but not required.

Responsibilities
Design, build, and maintain data pipelines and ETL/ELT processes on AWS.
Develop and support data warehouse solutions using

Amazon Redshift .
Build data ingestion and transformation processes using

S3, AWS Glue, Amazon App Flow, and Lambda .
Write and optimize complex

SQL queries

for data transformation, reporting, reconciliation, and analysis.
Work with data from APIs, SaaS applications, databases, flat files, and other enterprise sources.
Design data models and structures to support reporting and analytics requirements.
Implement data quality checks, validation, monitoring, and error-handling processes.
Troubleshoot data pipeline failures, SQL issues, and Redshift performance problems.
Work with business, reporting, analytics, and application teams to understand data requirements and provide appropriate solutions.
Participate in technical design and architecture discussions.
Follow data security, governance, and engineering best practices.
Prepare and maintain technical documentation.
Participate in code reviews and help improve development standards across the team.

Required Qualifications
7+ years of experience

in Data Engineering, Data Warehousing, ETL/ELT, or similar roles.
Strong hands-on experience working with

AWS data services .
Strong experience with:

Amazon Redshift, Amazon S3, AWS Glue, Amazon App Flow, AWS Lambda
Excellent

SQL skills , including complex queries, data transformations, and performance tuning.
Good experience with

Python

for data processing, automation, and Lambda development.
Strong understanding of data warehousing, data modeling, ETL/ELT, and data lake concepts.
Experience building and supporting production data pipelines.
Experience troubleshooting data and pipeline performance issues.
Experience working with Git and CI/CD processes.
Ability to work independently and take ownership of assigned technical work.
Good communication skills and experience working with technical and business stakeholders.

AI / GenAI Experience
Hands-on experience using

AI/GenAI tools

as part of development or data engineering work.
Understanding of how LLMs and AI services can be integrated with data platforms and applications.

Experience with

Amazon Bedrock, Sage Maker, AI APIs, RAG, vector databases, or similar technologies

is a plus.
Comfortable using AI-assisted development tools for coding, testing, troubleshooting, and documentation.

Nice to Have

Experience with

Snowflake .

Experience with

Azure data technologies , including Azure Data Factory, Synapse, Databricks, or Fabric.

Experience with

AWS Step Functions, Airflow/MWAA , or similar orchestration tools.
Familiarity with data governance, metadata management, and data quality practices.
AWS certifications.
Experience working with Financial Services and/or Healthcare clients.

Employment Details:

Employment Type:

Contract
Contract Duration:
Initial 6-month contract with a strong possibility of extension based on project requirements and performance.

Working Hours:

2:00 PM – 11:00 PM IST

Location:

Remote (Mumbai, Delhi or Bangalore preferred)
Proposed

Start Date:

Early as possible

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Please contact us to request accommodation .