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Senior Data Engineer - SQL / Python

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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