*** We are looking for Data Engineer who can join us immediately at our Bangalore Office***
Roles & Responsibilities:
8 -12 years experience Senior Data Engineer / Data Scientist with of hands-on experience in designing, building, and optimizing scalable data solutions. The ideal candidate should have strong expertise in data architecture, data pipelines, advanced analytics, and AI/ML implementation to drive business insights and decision-making.
This role requires close collaboration with business stakeholders, product teams, and engineering teams to deliver high-quality, scalable, and secure data solutions.
Key Responsibilities
Design, develop, and maintain scalable data pipelines (ETL/ELT).
Build and optimize data architectures (Data Lake, Data Warehouse, Lakehouse).
Develop and maintain batch and real-time data processing solutions.
Ensure data quality, governance, and security compliance.
Optimize performance of large-scale datasets and queries.
Work with cloud platforms (Azure/AWS/GCP) for data storage and processing.
Technical Skills Required
Strong proficiency in Python, SQL
Experience with big data tools (Spark, Hadoop, Databricks)
Hands-on experience with cloud platforms (Azure/AWS/GCP)
Experience with data warehousing solutions (Snowflake, Redshift, Synapse)
Strong understanding of data modeling (Dimensional, Star Schema)
Experience in ML frameworks (Scikit-learn, TensorFlow, PyTorch)
Knowledge of API integration and microservices architecture
Experience with CI/CD and DevOps practices
Exposure to MLOps tools is a plus
Required Qualifications
Bachelors/Masters degree in ComputerScience, Data Science, Engineering, or related field
1012 years of relevant industry experience
Strong analytical and problem-solving skills
Excellent communication and stakeholder management skills
Experience working in Agile/Scrum environments
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: OtherRole Category: OtherRole: OtherEmployement Type: Full time