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Data Engineer-Data Integration

Data Engineer-Data Integration

IBM

2 - 5 years

6 - 10 Lacs

Pune

Posted:1 day ago| Platform:

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Skills Required

ab initio performance tuning data modeling troubleshooting etl hive python data analysis oracle data warehousing data engineering sql plsql data quality tableau unix shell scripting spark hadoop big data aws data integration informatica unix

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the client’s needs.

Your primary responsibilities include:

Design, build, optimize and support new and existing data models and ETL processes based on our client’s business requirements

Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.

Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too

Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise

Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems.

Implement data quality and validation processes within Ab Initio. Data Modelling and Analysis.

Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes.

Analyse and model data to ensure optimal ETL design and performance.

Ab Initio Components, Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions. Implement best practices for reusable Ab Initio components

Preferred technical and professional experience

Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization. Conduct performance tuning and troubleshooting as needed. Collaboration.

Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes.

Participate in design reviews and provide technical expertise to enhance overall solution quality. Documentation

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Data Engineer-Data Integration