Dir, P4, Lead Tech Product Owner : Job Level - Director

Develop and build enterprise level Full Stack applications using BI and ETL technologies. Design and develop scalable data model to create intuitive reports and dashboards. Design and Development of ETL/Hadoop, including stored procedures, queries, performance tuning, archiving, etc., using python, SQL and ETL tools. Development of new transformation processes to load data from source to target, or performance tuning of existing ETL code (mappings, sessions) and Hadoop Platform. Build data pipelines and efficient automation scripts (using Python) Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations. Analysis of existing designs and interfaces and applying design modifications or enhancements. Providing insights and analysis findings for ad-hoc issues. 5+ Years of Development creating End to End Full Stack BI Solution, using BI Tools (Power BI, Tableau, Business Objects) and ETL Development (Informatica 5+ years of experience with the technical analysis and design, development and implementation of Data Lake and Data Warehouse solutions. 5+ years of experience in Hadoop, PySpark and Big data technologies. 5+ years relational database experience. Strong UNIX Shell scripting and Python experience to support data warehousing solutions. Power BI Development and Azure Relational databases DB2, Sybase, and Teradata. DDL and DML writing skills are essential as well as being able to write complex SQLs for data analysis. Create high quality and optimized stored procedures and queries. Experience data modeling and transformation of large-scale data sources using SQL, Hadoop, Spark, Hive, Snowflake, Databricks, Teradata or other Big Data technologies. Knowledge of version control systems, such as GIT/BitBucket Data warehousing concepts (Facts, Dimensions, star and snowflake design, etc.) Experience with scheduling tools (ex: Tivoli, Autosys) Database Performance and Tuning Unix and Python Scripting Ability to architect an ETL solution and data conversion strategy. Strong understanding of Data warehousing domain. Hadoop processing Performance Optimization. Familiarity with Python, Perl, R, data manipulation and analysis. Knowledge about TWS Scheduler would an added advantage. Being in Frameworks Team able to assist L1 - L2 Ops Support Team and assist/advise them on Production Job failures and should be able to assist Non-Prod Ops Support Team and assist them in Non-Prod Environment's Job failures. Experience in Agile methodology. Experience working directly with business stakeholders to translate between data and business needs. Excellent Team Player. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. Expected base pay rates for the role will be between $139,000 and $211,000 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.