Job Location: Hyderabad/Secunderabad
Note – This is Direct Hiring for Health Care MNC for Bangalore Location.
Job Title : Manager Data Engineering and Analytics – Snowflake, Tableau, Python, AWS
Experience : 7+ Years
Location : Bangalore
Role :
- Manage a team of young Data and BI engineers to drive actionable insights from the large data sets.
- Help organization and its customer to analyze the situation and take right decision after looking at the self-explanatory data reports and dashboards.
Primary Responsibilities
- Manages the data management team directly and is responsible for creating and maintaining the roadmap
- Hand on experience in building data solutions using cloud data platforms like snowflake, AWS etc and scripting languages Python, sql etc
- Build data models, data visualizations and automated analytics that operationalize insights across the business using
- Anticipate analytical needs of the business, design diagnostic solutions, and deliver highly polished data products and insights
- Drive adoption of analytical solutions, frameworks, and business intelligence tools
- Design and implement strategies for Data and Business Intelligence teams effective functioning and outcomes.
- Perform analysis on the required data sets and provide actionable insights.
- Prepare architecture for data, prepare strategies, and provide business object solutions as per requirements.
- Supervise efficient working of Data and BI team and analyze requirements and perform appropriate actions.
- Administer projects, prepare updates, and implement all phases for project to achieve all project objectives.
- Manage and customize all ETL processes as per business needs and analyze all processes for same.
- Analyze all complex data and identify requirements for business enhancement in project.
- Supervise and ensure efficient working of employees in organization.
- Perform assessment on all reporting requirements and develop long term strategy for various reporting solutions.
- Maintain and transform all strategies in operational plans according to business priorities and within budget.
- Coordinate with data generator and ensure compliance to all enterprise data model according to data standards.
- Provide support to all business resources and monitor all requirements for various value-added service.
- Work with process development and resource teams and prepare appropriate schedule.
- Monitor work of Business Intelligence team and ensure effective implementation of all Information Technology projects to achieve all client objectives.
- Manage all data for transactional sources and prepare effective reports.
- Provide leadership, mentoring and coaching to employees that are in a variety of points within their careers.
You will bring/You should have the experience working:
- In Data Warehouse and Business Intelligence Solutions
- As a Solution Architect in DW / BI and Big Data space
- In the Sophisticated Analytics space
- In Cloud (AWS /Azure) / Snowflake /Tableau/Python
- In the Delivery of Analytics solutions
Key Qualifications:
- Education: Bachelor of Engineer / Masters in Computer Science or equivalent.
- Minimum years of relevant experience: 7+ years in IT, Data Warehouse / BI / Data Product Development / Analytics/ETL / Solution development on Cloud platform.
- Analytical background and familiarity with evolving technology landscape such as Cloud/ Snowflake / Big Data / Containerization /BI Reporting Tools / Python is an added advantage
- Experience with Snowflake ,Snow Pipe, Snow SQL, Azure Data Factory, Azure Data Lake, Databricks, Airflow, Spark, Python, Bigdata
- Last 3+ years experience in Snowflake development, Python , Databricks, , AWS , Tableau
- Experience in data modelling
- Knowledge in cloud-native architectures and best practices
- Customer/market orientation
- Numerate, analytical, high attention to detail,
- Ability to combine strong analytical skills with business knowledge
- Ability to develop and evolve long-term strategies while driving tactical projects
- Experience developing stored procedures, indexes, partitioning, and database tuning.
- Experience working with ETL tools
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