Data Engineer

Data Engineer - CREQ Description

Data Engineer

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

Experience & Education :

At least 3 to 8 years of relevant experience is desired.

Having a Bachelors / Masters 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.

Skills :

Informatica PowerCenter , Data Integration Hub, Power Exchange, Informatica Cloud, Data Quality, Master Data Management, Address Doctor

Windows PowerShell / UNIX Shell Scripting, Control-M to automate the job runs.

MSSQL Server Database development

Knowledge of Azure Databricks, Python, PySpark, Azure functions, Data Lake, Azure DevOps CI / CD, Azure Data Factory

Mandatory skills :

Informatica PowerCenter

SQL Server

Azure Data Bricks

Primary Location Bangalore, Karnataka, India Job Type Experienced Primary Skills Python Years of Experience 8 Travel No