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Data engineer

Data engineer

Data engineers are on demand with an increase in the production of data day by day. And so many companies are hiring data engineers. Are you a data engineer looking for a job? Then here we are with the top data engineer jobs for you. These data engineer jobs can benefit you in all ways. 


Data Engineer at Amazon

Location: Hyderabad 

Roles and Responsibilities 

Translate business and functional requirements into scalable, operable solutions that work well within the overall data architecture. 

Design, develop, implement, test, document, and operate large-scale, high-volume and low latency applications. 

Build integrations between HR, Time & Attendance and Payroll systems to automate employee hire, schedule, punch and pay. 

Design data integrations and data quality framework.

Implement data structure using best practices in data modeling, ETL/ELT processes, SQL, and Oracle. 

Evaluate and make decisions around the use of new or existing software products and tools. 



3+ years of experience as a Data Engineer 

Experience with data modelling, data warehousing, and building ETL pipelines 

Experience in Kronos as application developer or engineer

End to end understanding of HR processes from Hire to time capture to payroll 

Experience with Big Data Technologies 


Head Data Engineering at Decision Point

Location: Gurugram

Roles and Responsibilities 

Work with various data engineering teams, clients and be responsible for the delivery of project and team goals 

Play big data architect role and design solution framework to translate business requirement to scalable data models

Build & support data ingestion and processing pipelines 

Design, build, test and maintain machine learning infrastructure and frameworks to empower data scientists on model development. 

Lead team capability building and recruitment 



Minimum of 6years of experience in data engineering and 2+ years in leading a team as a Engineering Manager 

Experience in working with a global team and remote clients 

Knowledge of statistics and machine learning techniques 

Strong command over advanced SQL, data warehousing concepts, DataMart designing

Experience in setting up and maintaining Data warehouse 


Lead Data Engineer at MoEngage Inc

Location: Bengaluru 

Roles and Responsibilities 

Responsible for systems end to end development to delivery 

Keep scalability/availability/resilience in mind while building 

Follow best practices to improve the product quality in the long run 

Mentoring other team members and help them build the right solutions 

Showing high level of ownership to drive the OKRs as a senior member in the team 



Minimum 4 years of experience with strong background over data systems 

Knowledge over developing backend applications with experience over Python, java, and Scala. 

Experience working with Hadoop/HDFS, Spark, S3, Hive, Kafka. 

Experience with streaming systems like Flink, Samza, KafkaConnect, KStreams 

Awareness of Secure Development processes

Command over Information Security concepts and Best practices 


Data Engineer: Enterprise Content at IBM

Location: Hyderabad 

Roles and Responsibilities 

Identification and driving of related service quality engineering deliverables 

Management and progression of Action items on time with prompt response 

Automation and process improvement, if applicable

Client information 

Improve corporate performance by managing business processes 



Minimum 4years of core development experience as Open Text Process Suite Developer 

Experience in Xform, HTML5, Angular JS. Javascript & SQL

Working with Core Java, Web services & Ws APP integrations is an added advantage 

Knowledge on Rest API and SOAP’s API 


Data Engineer at GSK 

Location: Bengaluru 

Roles and Responsibilities 

Hands-on, sleeves-up design, modeling, development, and delivery are expected as a matter of course.  

Strong working knowledge of Azure services and components, and the ability to stitch together various components towards a scalable, reliable and sustainable enterprise solution.

Production experience delivering CI/CD pipelines across Azure and vendor products.

Key knowledge of architectural patterns across code and infrastructure development.

Contribute towards the design and development of the enterprise standards.



5+years in Data platform experience-specific to owning and enabling capabilities including data management practices. 

5+years of experience with Azure data and analytics stack: Databricks, Data Factory, SQL, Cosmos DB, Power BI, Power Apps, AKS 

Key knowledge over of architectural patterns across code and infrastructure development 

Experience with Agile delivery frameworks and tools such as SAFe, Jira, Confluence, Azure DevOps. 

Experience with visualization tools and their application: developing reports, dashboards, and KPI scorecards.