Informatica_Data Engineer
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Before you apply
LocationBangalore, Karnataka, India
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
Company size10,000+ people
First seenOct 18, 2026 · 2w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Academic degree in Computer Science, Engineering, Mathematics or equivalent experience
Experience in software development with minimum of 3 years as data engineer/architect with proven experience on Big Data and Data Lakes on AWS
Experience of the full software development lifecycle on BI projects and support experience
Strong experience with schema design and data modelling
Proven ability and initiative to learn and research new concepts, ideas, and technologies quickly
Ability to effectively move forward on tasks even with ambiguous or changing requirements
Ability to work in a team-oriented, collaborative environment in a global context
Willingness and ability to train and teach others
Ability to self-manage, prioritize, and execute tasks in a high-pressure environment
Strong systems/process orientation with demonstrated analytical thinking, organization skills and problem-solving skills
The desire for growth and innovation, to bring rapid solutions to business challenges/opportunities
The ability to work in a centralized/decentralized operating model, with varying implementation partners and implementation owners
Fluent in English
Graduate Engineering Degree (B.E. / B.Tech)
5+ years of experience working as Informatica, Data warehousing, PL/SQL, Unix Scripting
3+ years of experience working in Agile teams
Demonstrates strong ability to articulate technical concepts and implications to business partners
Excellent communication skills
AWS Certification: Solutions Architect, SysOps Administrator, Developer, DevOps Engineer (desired)
Skills
Python
SQL
Redshift
Informatica PowerCenter
Informatica Cloud
Tableau
AWS
PostgreSQL
Oracle 12c
Exasol
ODI
PL/SQL
Spark
Hive
Presto
R
Cloud Formation
S3
EMR
Unix Scripting
Agile
DEVOPS DATA ENGINEER – SCHNEIDER DIGITAL
At the Schnedier Digital BI team, we are looking for a person responsible of building and improving our data warehouse and analytical dashboards by:
Responsibilities
•
Connecting new sources to enrich the data scope of the solution
•
Designing and developing new features based on consumer application requests
•
Automating the integration and delivery of data objects and data pipelines
•
Resolve incidences related to the platform and solutions deployed
KEY RESPOSIBILITIES
The duties and responsibilities of this job are to prepare data and make it available in an efficient and optimized format for consumer analytics, BI, or data science applications.
It requires to work with current technologies used by our data warehouse like: Redshift, Informatica (Cloud and PowerCenter) and Tableau.
This includes:
• Design and develop new data ingestion patterns based on the requirements and needs for connecting new data sources or for building new data objects. Working in ingestion patterns allow to automate the data pipelines
• Participate to and apply DevSecOps practices by automating the integration and delivery of data pipelines in a cloud environment. This can include the design and implementation of end-to-end data integration tests and/or CI/CD pipelines
• Analyze existing data models, identify and implement performance optimizations for data ingestion and data consumption.
• Support client applications in connecting and consuming data from the platform, and ensure they follow our guidelines and best practices
• Participate in the monitoring of the platform and debugging of detected issues and bugs
• Embed end-to-end security and privacy
• Tenaciously solve problems and make decisions under uncertainty
• Demonstrate a strong ownership in understanding business needs and driving business valued outcomes
REQUIREMENTS
Education:
• Academic degree in Computer Science, Engineering, Mathematics or equivalent experience
• AWS Certification: Solutions Architect, SysOps Administrator, Developer, DevOps Engineer (desired)
Job Related Experience:
• Experience in software development with minimum of 3 years as data engineer/architect with proven experience on Big Data and Data Lakes on AWS
• Experience of the full software development lifecycle on BI projects and support experience
• Strong experience with schema design and data modelling
• Proven ability and initiative to learn and research new concepts, ideas, and technologies quickly
• Ability to effectively move forward on tasks even with ambiguous or changing requirements
• Ability to work in a team-oriented, collaborative environment in a global context
• Willingness and ability to train and teach others
• Ability to self-manage, prioritize, and execute tasks in a high-pressure environment
• Strong systems/process orientation with demonstrated analytical thinking, organization skills and problem-solving skills
• The desire for growth and innovation, to bring rapid solutions to business challenges/opportunities
• The ability to work in a centralized/decentralized operating model, with varying implementation partners and implementation owners
Technical Skills:
• ETL tools: Informatica PowerCenter, Informatica Cloud, PL/SQL, ODI…
• SQL and Data-Bases: RedShift, PostgreSQL, Oracle 12c, Exasol,…
• Analytical Data modeling knowledge (DWH, STAR schema, Kimball…)
• BI tools: Tableau, Oracle Business Intelligence, Birst, PoweBI…
• AWS: S3, EMR, RedShift, Automation (Cloud Formation)
• Programming language: Python, R
• Big Data: Spark, Hive, Presto
• Broad IT knowledge and experience
Soft Skills:
• Digital disruptor
• Self-driven
• Creative thinker
• Strong team player
• Active listener
• Analytical and problem-solving skills
• Attention to details
Language:
• Fluent in English
Travel requirements:
• Rarely
DEVOPS DATA ENGINEER – SCHNEIDER DIGITAL
At the Europe Digital Data Hub team, we are looking for a person responsible of building and improving our data warehouse and analytical dashboards by:
•
Connecting new sources to enrich the data scope of the solution
•
Designing and developing new features based on consumer application requests
•
Automating the integration and delivery of data objects and data pipelines
•
Resolve incidences related to the platform and solutions deployed
KEY RESPOSIBILITIES
The duties and responsibilities of this job are to prepare data and make it available in an efficient and optimized format for consumer analytics, BI, or data science applications.
It requires to work with current technologies used by our data warehouse like: Redshift, Informatica (Cloud and PowerCenter) and Tableau.
This includes:
• Design and develop new data ingestion patterns based on the requirements and needs for connecting new data sources or for building new data objects. Working in ingestion patterns allow to automate the data pipelines
• Participate to and apply DevSecOps practices by automating the integration and delivery of data pipelines in a cloud environment. This can include the design and implementation of end-to-end data integration tests and/or CI/CD pipelines
• Analyze existing data models, identify and implement performance optimizations for data ingestion and data consumption.
• Support client applications in connecting and consuming data from the platform, and ensure they follow our guidelines and best practices
• Participate in the monitoring of the platform and debugging of detected issues and bugs
• Embed end-to-end security and privacy
• Tenaciously solve problems and make decisions under uncertainty
• Demonstrate a strong ownership in understanding business needs and driving business valued outcomes
REQUIREMENTS
Education:
• Academic degree in Computer Science, Engineering, Mathematics or equivalent experience
• AWS Certification: Solutions Architect, SysOps Administrator, Developer, DevOps Engineer (desired)
Job Related Experience:
• Experience in software development with minimum of 3 years as data engineer/architect with proven experience on Big Data and Data Lakes on AWS
• Experience of the full software development lifecycle on BI projects and support experience
• Strong experience with schema design and data modelling
• Proven ability and initiative to learn and research new concepts, ideas, and technologies quickly
• Ability to effectively move forward on tasks even with ambiguous or changing requirements
• Ability to work in a team-oriented, collaborative environment in a global context
• Willingness and ability to train and teach others
• Ability to self-manage, prioritize, and execute tasks in a high-pressure environment
• Strong systems/process orientation with demonstrated analytical thinking, organization skills and problem-solving skills
• The desire for growth and innovation, to bring rapid solutions to business challenges/opportunities
• The ability to work in a centralized/decentralized operating model, with varying implementation partners and implementation owners
Technical Skills:
• ETL tools: Informatica PowerCenter, Informatica Cloud, PL/SQL, ODI…
• SQL and Data-Bases: RedShift, PostgreSQL, Oracle 12c, Exasol,…
• Analytical Data modeling knowledge (DWH, STAR schema, Kimball…)
• BI tools: Tableau, Oracle Business Intelligence, Birst, PoweBI…
• AWS: S3, EMR, RedShift, Automation (Cloud Formation)
• Programming language: Python, R
• Big Data: Spark, Hive, Presto
• Broad IT knowledge and experience
Soft Skills:
• Digital disruptor
• Self-driven
• Creative thinker
• Strong team player
• Active listener
• Analytical and problem-solving skills
• Attention to details
Language:
• Fluent in English
Travel requirements:
• Rarely
Qualifications / Requirements:
•
Graduate Engineering Degree (B.E. / B.Tech)
•
5+ years of experience working as Informatica, Data warehousing,PL/SQL, Unix Scripting,
•
3+ years of experience working in Agile teams
•
Demonstrates strong ability to articulate technical concepts and implications to business partners
•
Excellent communication skills