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Senior Data Engineer - SQL / Python

MLAI DigitalBangalore

30+ days ago

Job description

Job Title : Senior Data Engineer

Experience : 5- 8 Years

About MLAI Digital Ltd :

MLAI Digital Ltd is a leading Artificial Intelligence fintech company delivering cognitive solutions for major BFSI institutions in India. Our platform enhances operational efficiency by automating repetitive tasks using cutting-edge ML and DL algorithms. We specialize in processing and optimizing data extracted from cognitive APIs. Our flagship product, Automatic Speech Recognition, empowers financial institutions through intelligent voice bots and advanced call center analytics engines.

Key Responsibilities (KRA) :

Design, develop, and maintain scalable and secure data pipelines and architectures
Optimize ETL workflows to ensure high performance and reliability
Implement and monitor data governance frameworks, ensuring data quality and integrity
Collaborate with data scientists, software engineers, and product teams to deliver end-to-end data solutions
Analyze large and complex datasets to identify actionable trends, patterns, and insights
Develop robust data models that support business intelligence and reporting needs
Ensure data security, compliance, and privacy in accordance with company policies
Integrate structured and unstructured data from various internal and third-party sources
Troubleshoot and resolve data-related issues with minimal supervision
Drive innovation by recommending and implementing improvements in data engineering practices
Work closely with stakeholders in BFSI to understand requirements and translate them into technical solutions

Required Skillsets :

Expertise in SQL and Python for data processing and automation

Hands-on experience with ETL tools and data pipeline orchestration (e.g., Apache Airflow, Luigi)

Strong knowledge of data warehousing concepts and solutions (e.g., Snowflake, Redshift, BigQuery)

Proficient in working with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)

Solid understanding of data architecture, data governance, and data lifecycle management

Experience in cloud platforms such as AWS, GCP, or Azure

Familiarity with containerization (Docker, Kubernetes) and CI / CD processes for data deployment

Exposure to machine learning pipelines and AI-driven applications is a plus

Experience in BFSI or fintech environments is highly desirable

ref : hirist.tech)

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Senior Data Engineer • Bangalore