Dataiku Jobs in Bengaluru

Data Engineer (Python/Dataiku/Spark/SAS DI) Location: Bangalore Type of Employment: Full-Time Experience Required: 3 to 5 years Job Overview: We are looking for a passionate Data Engineer with expertise in Python, Dataiku, Spark, or SAS DI to join our dynamic team. In this role, you will collaborate with clients to build data pipelines that support their Data and Analytics journey. As a member of our team, you will be responsible for driving data engineering initiatives, developing and implementing ETL solutions, and optimizing data workflows for efficiency and scalability. Key Responsibilities: Data Engineering Initiatives: Collaborate with clients to define and implement data engineering initiatives based on business needs. ETL Development: Design and develop data integration solutions using tools like Python, Dataiku, Spark, and SAS DI. Develop and maintain automated data pipelines for real-time and batch data ingestions. Performance Tuning: Conduct performance tuning and optimize queries and data models to enhance performance and scalability. Database Design: Design and implement database objects such as tables, views, schemas, and stored procedures. Ensure data quality and consistency across the data warehouse. Collaboration: Work closely with cross-functional teams to translate business requirements into technical solutions and communicate effectively with clients across multiple regions. Troubleshooting: Troubleshoot and resolve data-related issues while ensuring the quality and integrity of the data. Project & Technical Leadership: Act as the technical lead or single point of contact (SPOC) for the client and internal teams, ensuring smooth project delivery. Essential Skills: Data Engineering Tools: Experience with Python, Dataiku, Spark, and SAS DI. SQL Proficiency: Strong SQL experience for extracting data from various databases and performing data analysis. ETL Development: Expertise in designing and developing ETL processes to integrate data from diverse sources into a data mart layer. Data Modeling: Understanding of data modeling concepts, including relational and dimensional modeling. BI Knowledge: Basic understanding of Business Intelligence (BI) tools and analytics needs. Communication Skills: Excellent communication skills to understand business requirements and translate them into technical solutions. Desirable Skills: Data Analysis: Strong analytical skills to perform data analysis, especially for banking products data. BI Tools: Experience with MicroStrategy or Power BI for reporting and dashboarding. Qualifications: 3+ years of experience designing and developing scalable data integration solutions. Familiarity with data analytics and reporting needs. Technical certifications that align with your continuous learning aspirations. Qualities: Strong problem-solving skills with a systematic approach to resolving issues. Ability to influence and implement change confidently. Excellent team player who works effectively in cross-functional teams. Strong communication and presentation skills, capable of interacting with clients and presenting ideas persuasively. Fluent in English, both written and spoken, for effective communication. Opportunity to work with cutting-edge data engineering tools and technologies. Be a key player in building and optimizing data pipelines for clients data and analytics needs. Competitive salary, benefits, and a dynamic, innovative work culture.