Role & responsibilities
Design, develop, and implement robust data pipelines for seamless data ingestion, transformation, and storage. Build and deploy Machine Learning models to deliver actionable insights and predictive analytics. Conduct Exploratory Data Analysis (EDA) on structured and unstructured data. Optimize and manage big data environments ensuring performance, scalability, and reliability. Collaborate closely with cross-functional teams (engineering, product, business) to deliver data-driven solutions aligned with business goals. Uphold industry standards in Data Governance, Security, and Compliance. Tune performance and optimize SQL/NoSQL databases and cloud-based storage systems. Lead data visualization initiatives, transforming analytical outputs into digestible and actionable dashbo ards or reports. Collect, clean, and analyze large datasets from multiple sources. Develop and maintain dashboards, visualizations, and reports for business tracking. Extract, manipulate, and analyze data using SQL, Python, or R. Identify trends, anomalies, and insights that impact business performance. Conduct market research, customer behavior analysis, and performance tracking. Ensure data integrity and maintain compliance with data quality standards and policies.
Required Qualifications & Experience Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. 5+ years of hands-on experience in Data Engineering or related domains. Proficiency in programming languages such as Python, SQL, Scala, or Java. Deep knowledge of Big Data tools: Apache Spark, Hadoop, and frameworks like Apache Airflow, Kafka. Experience in Cloud Platforms: AWS, Azure, or Google Cloud Platform (GCP). Practical experience with Machine Learning libraries/frameworks: TensorFlow, PyTorch, Scikit-learn. Skilled in data visualization tools: Tableau, Power BI, or similar platforms.
Strong analytical mindset with excellent problem-solving and communication skills. Preferred Skills (Good to Have) Familiarity with DevOps practices and containerization tools such as Docker and Kubernetes. Exposure to real-time data streaming and analytics. Knowledge in advanced fields like Deep Learning, Natural Language Processing (NLP), or Computer Vision
Keyskills: Cloud Computing Big Data Data Visualization Machine Learning Python
One of the renowned NBFC compnay having Pan India presence with good scope of oppurtunity.