Data Engineer Job in Chennai, India
Full Time
full time
Senior Software Engineer (Level: Consultant)
22 Apr 2025
Chennai
Verified by Turrior
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
85 / 100
Offer value
Strong value owing to clear requirements for advanced data engineering skills with high demand in the job market; ideal for skilled professionals.
- Engagement with modern technologies in data engineering
- Environment conducive to professional growth
- Requires in-depth knowledge of AWS services and scripting
Pros
- Opportunity to work with current and trending data technologies
- Excellent environment for developing advanced engineering skills
- Supportive role within analytics and machine learning projects
Cons
- Expectations for specialized skills may limit applicant pool
- Potential demand for overtime during critical project phases
- Possibility of limited diversity in tasks based on specific technologies
Who it's for
Senior Level • On-site / Full-time
Good fit
- Skilled Data Engineers wanting to leverage AWS
- Professionals looking to evolve in data-driven projects
- Candidates within cloud data engineering roles
Not recommended for
- Entry-level data enthusiasts
- Individuals lacking knowledge of modern data tools
- Those avoiding hands-on project involvement
Motivation fit
Interest in cloud-based data solutions and analyticsDesire for a role combining engineering and data scienceAspiration to contribute to innovative data initiatives
Key skills
Expert knowledge in data warehousing and ETL jobsProficiency in Snowflake and DBTStrong programming skillset in Python and PysparkExperience with data streaming technologies
Score: 85/100 AI verified analysis
About the job
We are looking for a highly skilled Senior Data Engineer to join our team.The ideal candidate will have hands-on experience working with large-scale data platforms and a strong background in Python, PySpark, AWS, and modern data warehousing tools such as Snowflake and DBT. Familiarity with NoSQL databases like MongoDB and real-time streaming platforms like Kafka is essential.Key Responsibilities:Design, build, and maintain scalable data pipelines using PySpark and Python.Work with AWS cloud services (S3, Lambda, Glue, EMR, Redshift) for data ingestion, processing, and storage.Implement and maintain ETL workflows using DBT and orchestration tools (e.g., Airflow).Design and manage data models in Snowflake, ensuring performance and reliability.Work with SQL for querying and optimizing datasets across different databases.Integrate and manage data from MongoDB, Kafka, and other streaming or NoSQL sources.Collaborate with data scientists, analysts, and other engineers to support advanced analytics and ML initiatives.Ensure data quality, lineage, and governance through best practices and tools.Required Skills & Qualifications:Strong programming skills in Python and PySpark.Hands-on experience with AWS data services.Proficiency in SQL and experience with DBT for data transformation.Experience with Snowflake for data warehousing.Knowledge of MongoDB, Kafka, and data streaming concepts.Good understanding of data architecture, modeling, and data governance.Experience with CI/CD and DevOps practices in a data engineering environment is a plus.Excellent problem-solving skills and the ability to work independently or as part of a team.
Benefits
Consulting, Run Services, Corporate, Digital, Sales and Marketing, Delivery Management, Cloud and Infrastructure, Technology, Strategy, Customer Experience Transformation, Banking & Financial Services, ServiceNow, Core Tech .NET, Pega, Functional programming, Consulting & Advisory, Mainframe Apps, Data Integration, Delivery Transformation, Application Maintenance and support, Business intelligence., KPO, Other CRM and EAS packages, Cloud Application Engineering, Data Management, Healthcare & Life Sciences, Security, Cloud Infra & Security, Platform Assurance, Service Delivery Management, Azure, Program Management, Non-Functional Assurance, Mobile App Engineering, Web App Engineering, Telco, Insurance, Cloud Operations, Customer Experience, Business Analysis, AI/ML, SRE & Observability, DevOps, Data Testing and Validation, Infrastructure Maintenance and support, Experience Design, Other BPM, Salesforce, Data Platforms, Project Management, Data Governance, SAP, AWS, Others, GCP, IPA/RPA, EAI Middleware, Core Tech Java, Emerging Tech
