Senior Data Engineering Manager

Company DescriptionDecisionTree Analytics is a leading Analytics Services company dedicated to empowering businesses with data-driven insights to make informed strategic decisions. We combine data driven algorithmic analysis with heuristic domain expertise to provide Predictive, Pervasive and Actionable analytics that empower organizations to make better and informed decisions. Our forward looking, fast, flexible, and affordable solutions & services help clients to realize both short-term tactical and long-term strategic value.Job Description:Responsible for leading the designs and implementation of leading edge solutions to meet our clients' increasing needs to maximize the potential of data in realizing their business goals. A key aspect of your role will be to maintain an insightful understanding of the evolving technology and industry trends in the Data Engineering amd Business Intelligence landscape and applying those insights to the development strategy and solution offering portfolio, enabling us to best meet current and future client requirements and market opportunities. Key Responsibilities: Design, develop, and maintain the data warehouse and analytics architecture to meet business analysis and reporting needs, where the scale and reliability of a modern distributed system is at the heart.Primarily responsible for the successful delivery of client engagements and initiatives.Leading a team of BI and Analytics professionals.Provide subject matter expert input and advisory role input to client engagements as required - strategy and solution advisory, technical resource management, client workshop facilitation and overall engagement management.Provide subject matter expert input and advisory role input to client engagements as required - strategy and solution advisory, technical resource management, client workshop facilitation and overall engagement management.Write stored procedures, functions, views, triggers for various database systems.Review and evaluate existing stored procedures for performance improvements       Ability to understand business needs and apply analytical concepts to generate actionable business insights.Collaborating and mentoring the team of data analysts to provide development coverage, support, and knowledge sharing.Setting goals and driving the roadmap for the business intelligence team.Always be learning and looking to expand the breadth of your expertise outside your comfort zone because the business is evolving and you need to stay current.Qualifications: 10+ years of work experience, in ETL and Data Warehousing. Experience with cloud infrastructure providers like Amazon AWS, Google Cloud or Azure.Hands on experience in multiple ETL platforms like Talend, Alteryx, Informatica.Extensive knowledge of at least 2-3 data visualization tools like Tableau, Power BI, DOMO, Google Data StudioHands-on experience of using database methodology, data analysis, advanced SQL queries, ETL and business intelligence applications.Must have implemented multiple Data warehousing projects from the design phase.Should be well versed with databases like PostgreSQL, MySQL, MS SQL.Experience in working with various data sources: Web Services, application API, XML, Relational Databases, Document Oriented NoSQL databases, etc.Experience with big data storage and query engines like AWS Redshift, Big QueryExcellent analytical skills with an ability to analyze the data, but also drive the implementation of the recommendations.Strong experience of people management and project management.Excellent verbal and written communication skills.Benefits:Flexible work culture with 5 Days working.Medical Insurance (Coverage 5 Dependents)Cult. Fit membershipFree Meals, Company happy hoursCompetitive Compensation as per industry PRB