Description

Responsibilities

• 9+ years' experience working in a data function or equivalent position where primary responsibility is working with data, database design, data development and ETL is the primary responsibility.
• Help developers understand the business requirement and develop detail technical solution specification while working with Business, Solution, Technical and Data Architectures teams.
• Participate in the analysis, design and development of systems, including logical and physical data modeling, database design, database creation, analysis and evaluation of data and information requirements for new applications and reports.
• Conduct full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios
• 5-7 years of experience working on Data bricks, Azure Data Factory, Azure Synapse Analytics and other Azure data solutions ecosystems (Mandatory)
• 5 years strong development experience in one of Snowflake, Azure SQL DW, Big Query
• 5 years of experience working on Spark SQL, Hive SQL, USQL.
• 5-7 years of experience working on Spark, Scala and Python.
• 5 Experience on creating the frameworks towards building the data pipelines. (Mandatory) · Experience on configure the data streams between Event Hub and Azure Service Bus with other integration systems such as Data Bricks etc.·
• Well versed in DevSecOps and CI/CD deployments
• Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, SSIS, Attunity (Qlik), Event Hub, Kafka, etc.
• Experience in data mining techniques and methodologies (data prep/modeling, classification, regression, clustering, causal modeling, AI, machine learning, ensemble approaches)
• Advanced experience in data visualization tools with a strong grasp of effective data modeling and visualization practices
• Design and Develop Business intelligence solutions with combining knowledge of SSIS/SSAS/SSRS/Azure Analysis Services/Azure Data Factory/Power BI technologies with a deep understanding of data structure / data models to design, develop, and tune BI solutions and reports
• Perform Advanced data analytics by designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, Azure Synapse Analytics, Azure Data Bricks, CosmosDB, Azure Stream Analytics, Azure Machine Learning Service, R server
• Work with Business Engagement and Business stakeholders to understand requirement, translate them into technical requirements, and partner with our PMs to plan delivery commitments
• Design, develop, and administer Power BI reporting and data visualization to help drive interactive executive dashboards, accurate BI content reporting, and stream analytics in real-time.
• Connecting to data sources, importing data and transforming data for Business Intelligence
• Configure data intake using Power Query and its formula language, ‘M’
• Implement row level security on data and understand application security layer models in Power BI
• Thought leadership, creation, and execution on new platform capabilities
• Continuously evaluate our processes and reporting to identify opportunities to improve, enhance, and automate existing and new deliverables
• A bachelor’s degree (or) higher in business, computer science, (or) other technical fields
• Proficiency in at least one programming language, Java (or) Python preferred
• Strong data analysis, data modelling and SQL skills along with query optimization experience
• Excellent communication skills with the ability to work in large teams and interact with both technical and business teams
• Strong analytical and problem-solving skills
• Good understanding of Enterprise Data Architectures including Data Warehousing, Dimensional Models,
• Good understanding of Software Engineering principles and best practices
• Experience working in an environment/team that uses Agile/Scrum methodology

Key Skills

Education

Any Graduate