
Sr Manager of Data Engineering - Data & Analytics
- Bangalore, Karnataka
- Permanent
- Full-time
- Collects, refines, and transforms data accurately from diverse sources using advanced SQL queries and Alteryx expertise.
- Designs, develops and manages dynamic data visualization solutions like Tableau and ThoughtSpot providing actionable insights for informed decision-making.
- Publishes and manages dashboards, reports with optimized scheduling, addressing data discrepancies and performance issues proactively.
- Defines critical data scope within products, documenting, classifying, and enriching data with comprehensive metadata for effective use.
- Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
- Extensive experience in managing the full lifecycle of data, from collection and storage to analysis and reporting.
- Experienced in SQL, with the ability to design and optimize complex queries and database structures.
- Deep understanding of NoSQL databases and their strategic applications within the industry.
- Proven track record in statistical data analysis and the ability to derive actionable insights from complex data sets.
- Experience in leading large-scale data engineering projects and implementing custom solutions to meet business objectives.
- Experience in analytics/business intelligence to deliver data-driven insights and strategic solutions, with mandatory hands-on expertise in Alteryx, SQL, Tableau for advanced analytics, complex data manipulations, and crafting advanced data visualizations.
- Demonstrated ability to build and manage cloud-native data pipelines in AWS, with hands-on knowledge of AWS components.
- Proficient in Python to effectively meet future and evolving data needs, while adeptly tackling complex data logic challenges and designing sophisticated workflows for problem-solving.
- Drive projects efficiently using extensive experience with tools like JIRA and Confluence, demonstrating agility and adaptability to transition swiftly between projects and meet evolving demands.
- Exhibit exceptional written and verbal communication skills to articulate complex ideas clearly and persuasively to diverse audiences with assertive communication to set and manage stakeholder expectations under tight deadlines.
- Extensive experience with major cloud platforms such as AWS, Azure, and Snowflake.
- Proficiency in ETL tools, including PySpark, Snowflake, and other data processing frameworks.
- Strong understanding of Data Mesh, data modeling, and domain-driven design principles.
- Experience with version control systems and tools, including Git, GitHub, GitLab, and Bitbucket.