Senior Data Engineer

4 days ago

Pune, Maharashtra, India InfoBeans Full time
Greetings from Infobeans ( Title: Senior Data Engineer
Skills: Python, Data Engineering
Experience Required: 5- 7 Years
Location: Pune
Notice Period: Immediate Joiners Preferred
About the Role
We are seeking a Senior Data Engineer with a passion for building scalable data infrastructure, fluent Python skills, and a sharp analytical mindset. You will design, build, and optimize our data pipelines and architectures to support critical data-driven initiatives across the business. Your work will directly impact the quality and accessibility of our analytics, data science, and reporting systems.
Key Responsibilities
Architect and maintain scalable, reliable data pipelines for batch and real-time processing.
Write high-quality Python code to manipulate and transform large datasets.
Implement data modeling, ETL processes, and orchestration frameworks (e.g., Airflow, Prefect).
Ensure data quality, consistency, and documentation across systems and stakeholders.
Collaborate closely with data analysts, data scientists, and engineering teams to support business needs.
Optimize performance of databases and data warehouses (MS SQL Server).
Monitor, troubleshoot, and resolve issues in production pipelines.
Required Qualifications
Bachelors and/or masters degree in Computer Science
5+ years of experience in data engineering or backend development with data-intensive systems.
Fluent in Python — with strong proficiency in pandas, API integration.
Deep understanding of data structures, algorithms, and best practices in clean code and testing.
Proven experience with modern data stacks (e.g., Airflow, Fivetran, Stitch).
Strong SQL skills and experience with data warehousing concepts.
Experience working with AWS cloud platform.
Detail-oriented mindset — able to maintain rigor in data quality and documentation.
Strong analytical and problem-solving skills — able to break down complex problems into data solutions.
Nice-to-Have
Experience with ML model pipelines or supporting data science workflows.
Exposure to CI/CD for data pipelines.
About InfoBeans:
InfoBeans is a global digital transformation and product engineering company, enabling businesses to thrive through innovation, agility, and cutting-edge technology solutions. With over 1,700 team members across the globe, we specialize in custom software development, enterprise solutions, cloud, AI/ML, UX, automation, and digital transformation services .
At InfoBeans, we live by our core purpose of "Creating WOW" —for our clients, team members, and the community. Our collaborative culture, growth opportunities, and people-first approach make us one of the most trusted and rewarding workplaces. Link:

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