Responsibilities
• Independently plans, designs, develop, executes and monitor complex data integration activities to support project delivery and daily operation.
• Expert in defining, implementing, debugging and optimizing data integration mappings and scripts from a variety of data sources.
• Spearheads development of ETL code, metadata definition and models, queries, scripts, schedules, work processes and maintenance procedures and identify opportunities to optimize the sizing, performance and efficiency of existing processes/procedures.
• Mentors less experienced analysts on proper standards/techniques to improve their accuracy and efficiency.
• Perform the unit testing, system integration testing, regression testing and assist with user acceptance testing.
• Articulates business requirements in a technical solution that can be designed and engineered.
• Consults with the business to develop documentation and communication materials to ensure accurate usage and interpretation of JLL data.
• Develops technical understanding of how the data flows from various source systems and source types to fine tune data integration solution.
• Work independently or as part of a team to deliver data warehouse ETL projects.
• Adhere to established standards and best practices and provide input for improvement of those processes.
• Self-motivated team player who can work with minimal supervision and can adapt to a quickly changing environment.
• Maintain a high-volume data warehouse application.
• Ability to work on multiple tasks simultaneously, ability to switch between tasks and work in conflicting priorities
Sounds like you? To apply you need to be:
Experience & Education
At least 3 to 8 years of relevant experience is desired.
At least 2+ years of experience in Azure Databricks.
Having a Bachelors/Master’s degree in Computer Science/Information Systems from a reputed University
Strong computer science fundamentals.
Strong in communications with business stakeholders:
Requires strong ability to communicate and manage stakeholders, and to drive collaboration between the business team and the various project teams including application support teams, network teams, database teams, and storage and server teams across the regions.
Excellent technical, analytical, and organizational skills.
Effective written and verbal communication skills, including technical writing.
Technical Skills & Competencies
• Azure Databricks
• ETL knowledge
• SQL knowledge
• Python
• PySpark
• SparkSQL
• Azure functions
• Delta Lake
• Azure Data Factory
• Azure DevOps CI/CD
• Good to have knowledge on ADLS Gen2, Kafka stream processing
• Good communication
• Self-starter and willingness to learn other technology including Informatica and Go Anywhere
• Must have hands-on experience with commercial Integration products including Informatica PowerCenter 10.x, Data Integration Hub, Power Exchange, Informatica Cloud, Data Quality, Master Data Management, Address Doctor
• Must have experience in Windows PowerShell / UNIX Shell Scripting, Control-M to automate the job runs.
• Must have basic hands on MSSQL Server Database development experiences including:
• Stored Procedures
• Explain Plans
• Constraints
• Views
• Export/Import Utilities
• Must have strong knowledge of Software Development Life Cycle including requirement analysis, design, development, testing, and implementation. Hands on experience in performance tuning of sources, targets, mappings and sessions.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
