Data Analyst - ETL/Data Warehousing

Summarized Accountability: This role is responsible for designing, building, and maintaining scalable data pipelines and infrastructure. They work closely with data scientists and analysts to ensure data quality and availability. This role also collaborates with cross functional teams to identify and implement data-driven solutions that support business objectives. They are expected to have a solid understanding of data modeling, ETL processes, and database technologies. Key Responsibilities: - Design, develop, and maintain data pipelines and ETL processes. - Implement and maintain data warehouses and data lakes. - Ensure data quality and integrity across all data sources. - Optimize data storage and retrieval for performance and scalability. - Collaborate with cross-functional teams to identify and solve datarelated problems. - Develop and maintain data documentation and metadata. - Stay up to date with emerging data technologies and trends. Experience & Education: - Bachelor's degree in computer science or a related field. - Provide key knowledge needed to be successful in the role and work or educational experiences related to that key knowledge. - 4 years of experience in data engineering or a related field. IS Technical Discipline: - Strong knowledge of data modeling, data warehousing, and ETL processes. - Experience with SQL and database management systems (e.g., MySQL, PostgreSQL). - Familiarity with big data technologies (e.g., Hadoop, Spark). - Proficiency in programming languages such as Python or Java. - Experience with cloud platforms (e.g., AWS, Azure, GCP). - Knowledge of data quality and data governance best practices. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. (ref:hirist.tech)

Location: pune, IN

Posted Date: 5/1/2025