Senior Data Analyst/Data Engineer

: Senior Data Analyst / Data Engineer Experience : 5 - 10 Years Location : Whitefield, Bengaluru Employment Type : Full-Time, Permanent Key Responsibilities : - Act as the primary point of contact between business stakeholders and technical/data teams. - Lead requirement-gathering sessions to understand business needs and translate them into clear technical and data requirements. - Develop and optimize complex SQL queries for data extraction, transformation, validation, and analysis. - Analyze large datasets to identify data quality issues, trends, inconsistencies, and improvement opportunities. - Collaborate with data engineers and technical teams to ensure accurate implementation of business requirements. - Perform data validation, troubleshoot data-related issues, and ensure data accuracy and consistency. - Work with Databricks at a foundational level, including notebooks, data processing concepts, and data analysis. - Prepare and maintain documentation for business requirements, data mappings, transformation logic, and processes. - Communicate effectively with technical and non-technical stakeholders. - Provide regular progress updates to management and proactively highlight risks, dependencies, and gaps. Required Skills and Qualifications : - 8 - 10 years of relevant experience in Data Analytics, Data Engineering, Business Intelligence, or a related field. - Strong expertise in SQL, including complex joins, subqueries, CTEs, window functions, aggregations, and query optimization. - Strong analytical, problem-solving, and data interpretation skills. - Good understanding of data structures, data transformation, and data validation. - Basic working knowledge of Databricks. - Proven experience in requirement gathering, stakeholder management, and business communication. - Ability to independently lead stakeholder discussions and represent the team or manager in meetings. - Ability to translate business requirements into actionable technical/data specifications. - Strong documentation, presentation, and communication skills. Good to Have : - Experience with cloud-based data platforms. - Knowledge of ETL/ELT processes and data integration. - Exposure to Python or PySpark. - Experience working in large-scale enterprise data environments.