Location - Hyderabad, India

Department - Product R&D

Level - Professional 

Working Pattern - Work from office.

Benefits - Benefits at Ideagen

DEI - DEI strategy

Salary - this will be discussed at the next stage of the process, if you do have any questions, please feel free to reach out!

We are seeking an experienced Data Engineer who will build automated pipelines and solutions for data migration/data import or other operations requiring data ETL.

• Perform analysis on core products to support migration planning and development.
• Work closely with the Team Lead and collaborating with other stakeholders to gather requirements and
• build well architected data solutions.
• Produce supporting documentation, such as: specifications, data models, relation between data and others,
• required for the effective development, usage and communication of the data operations solutions with
• different stakeholders.
• Experience working with databases on-premises and/or cloud-based environments such as MSSQL, MySQL, PostgreSQL, AzureSQL, Aurora MySQL & PostgreSQL, AWS RDS etc.
• Experience building ETL/ELT pipelines
• Strong problem solving and analytical skills, high attention to detail
• Passion for analytics, real-time data, and monitoring
• Critical Thinking and collaboration skills
• Self-starter and a quick learner, ready to learn new technologies and tools that the job demand

Essential:

· Strong experience (4-8 years of relevant experience) working with databases on-premises and/or cloud-based environments such as MSSQL, MySQL, PostgreSQL, AzureSQL, Aurora MySQL & PostgreSQL, AWS RDS etc.

· Strong knowledge of databases, data modeling and data life cycle

· Proficient in understanding data and writing complex SQL

· Experience with any ETL/ELT tool or platforms - SnapLogic (preferred), SSIS, Talend, Informatica, Azure Data Factory, AWS Glue, IBM InfoSphere etc.

· Experience working with REST API in data pipelines

· Strong problem solving and high attention to detail

· Passion for analytics, real-time data, and monitoring

· Critical Thinking, good communication and collaboration skills

· Focus on high performance and quality delivery

· Highly self-motivated and continuous learner

Desirable:

· Experience working with no-SQL databases like MongoDB

· Experience working with Microsoft Power Platform (PowerAutomate and PowerApps) or any similar

automation / RPA tool

· Experience with cloud data platforms like snowflake, data bricks, AWS, Azure etc.

· Awareness of emerging ETL and Cloud concepts such as Amazon AWS or Microsoft Azure

· Experience working with Scripting languages, such as Python, R, JavaScript, etc.