Pune Maharashtra Sr. platform engineer Jobs – 1355 Open Jobs Today

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Senior Data Engineer

Weekday -
Pune, Maharashtra

Quick apply

Job details

Full-time
2 days ago

Qualifications

CI/CD
Performance tuning
Data modeling
Azure
Relational databases
Software deployment
Git
SQL
AWS
Continuous integration
Scripting
ETL
AI
Informatica
Communication skills
Data warehouse
Python

Full job description

This role is for one of our clients

Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level

Experience: 5+ yrs
Location: Bengaluru , Hyderabad . Pune
Job Type: full-time

About the Role

We are seeking an experienced Senior Data Engineer with 5–10 years of professional experience in designing, building, and optimizing modern data platforms. The ideal candidate will have strong expertise in data warehousing, ETL/ELT development, workflow orchestration, and cloud-based data solutions.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data integration workflows.
Build and optimize data models to support analytics, reporting, and business intelligence needs.
Develop and manage transformation logic using DBT and SQL best practices.
Orchestrate and monitor data workflows using Airflow.
Implement ETL/ELT solutions using Informatica Intelligent Cloud Services (IICS).
Develop automation, data processing, and integration solutions using Python.
Optimize Snowflake performance, including warehouse tuning, query optimization, and cost management.
Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
Ensure data quality, reliability, security, and governance across data platforms.
Support CI/CD processes, code reviews, and deployment automation.

Required Skills

Strong expertise in Snowflake (data modeling, performance tuning, warehouse optimization).
Hands-on experience with DBT for data transformation and modular SQL development.
Proficiency in Python for data engineering, automation, and scripting.
Strong knowledge of SQL and relational database concepts.
Experience with cloud platforms such as AWS, Azure, or GCP.
Familiarity with Git and CI/CD pipelines.
Excellent analytical, problem-solving, and communication skills.

Preferred Skills

Experience with Airflow for workflow orchestration and DAG management.
Hands-on experience with Informatica Intelligent Cloud Services (IICS).
Knowledge of enterprise ETL/ELT architectures and data integration best practices.

Experience

5–10 years of experience in Data Engineering, Data Warehousing, or related fields.
Proven experience building and maintaining scalable, production-grade data platforms.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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