Data Engineer Job at Giridhara Software Services Pvt Ltd (Bengaluru)

New

Data Engineer

Technology Doesn't Change the World, People Do.® Robert Half is the world’s firs...

Location

United States , Memphis

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
3+ years of experience in Data Engineering or related role
Strong SQL skills and experience working with relational databases
Experience building ETL/ELT pipelines using modern data tools
Proficiency in Python, Java, Scala, or similar programming languages
Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google
Experience with data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery
Experience with orchestration and pipeline tools such as Apache Airflow, dbt, or Apache Spark
Strong understanding of data architecture, data modeling, and database optimization
Excellent troubleshooting and problem-solving skills

Job Responsibility

Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets
Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources
Build data models and optimize data warehouse performance for analytics and reporting
Ensure data quality, integrity, governance, and security across all data platforms
Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements
Monitor pipeline performance and troubleshoot data-related issues in production environments
Implement automation for data validation, monitoring, and alerting
Support cloud-based data infrastructure and architecture improvements
Create and maintain documentation for data flows, architecture, and processes
Continuously improve data engineering standards, tools, and best practices

What we offer

medical
vision
dental
life and disability insurance
enrollment in company 401(k) plan
free online training

Fulltime

New

Data Engineer

Location

Malaysia , Gelang Patah

Salary:

Not provided

PerkinElmer

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent work experience
Expert-level proficiency in Microsoft SQL Server, including complex query writing, performance tuning, stored procedures, CTEs, window functions, and view creation in production environments
Demonstrated ability to read and interpret complex, multi-layered SQL queries and understand underlying data structures
3+ years experience creating and managing Python data pipelines and ETL for analytics use cases
3+ years of hands-on Power BI development experience, including report building, data modeling, DAX authoring, and managing connections across a large number of diverse data sources
Proven ability to gather and translate business requirements into functional data and reporting solutions.

Job Responsibility

Manage, maintain, and continuously improve a portfolio of 40+ Power BI reports connected to 100+ data sources, ensuring data accuracy, performance optimization, and alignment with business needs
Collaborate with business stakeholders from Operations, Production, Engineering, Quality, Planning, Procurement, Service, Logistics and IT, to gather, analyze, and document reporting requirements, translating them into technical specifications
Architect and create SQL views and queries to support data models, reporting layers, and downstream analytics
Read, interpret, and refactor complex data pipelines to improve performance, readability, and maintainability across existing data infrastructure
Maintain and improve Python data pipeline scripts that extract, transform, and load data between SAP, Salesforce, ServiceMax, SFTP, Email, and MES systems, ensuring reliability and performance
Build and publish new Power BI reports and dashboards from initial requirements through final delivery, including data modeling, DAX measures, and visual design
Manage, monitor and troubleshoot PowerBI gateway, report refresh failures, data discrepancies, and pipeline issues
drive resolution in a timely manner
Document data pipelines, SQL views, and report logic to ensure knowledge transfer and sustainability of the reporting environment
Experience designing, implementing, and configuring both public and private API endpoints to enable seamless system integrations and scalable solutions.

New

Data Engineer

We are looking for a Data Engineer to help shape and scale a modern cloud-based ...

Location

United States , Wood Dale

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, analytics engineering, or a closely related discipline
Strong practical experience with Google Cloud Platform, including deep expertise in BigQuery
Advanced SQL skills with a proven ability to design semantic models and curated data layers
Experience developing integrations and pipelines through APIs, ingestion frameworks, or ETL processes
Hands-on familiarity with BI and reporting platforms such as Looker Studio, Tableau, or comparable tools
Solid communication skills with the ability to work effectively across technical teams and business functions
Demonstrated success in ambiguous environments where processes, models, and standards must be built from scratch.

Job Responsibility

Create and refine scalable data models and curated datasets within BigQuery to support accurate analysis and reporting
Build, manage, and optimize ETL workflows and data pipelines that connect information from SaaS applications and other source systems
Develop reporting-ready data structures and dashboards that provide clear, dependable insights for business users
Establish data quality practices, documentation standards, and performance metrics to strengthen trust in enterprise reporting
Collaborate with cross-functional stakeholders to translate reporting objectives into well-structured data solutions
Automate repetitive data tasks through scripting and lightweight engineering approaches using tools such as Python
Apply governance and maintainability best practices to improve how data is organized, accessed, and supported over time
Contribute to modernization efforts by helping move data processes away from legacy workflows into scalable cloud-based platforms.

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan
Free online training

New

Data Engineer

The Role: We are seeking a passionate Data Engineer to design scalable, robust s...

Location

United Kingdom , London

Salary:

Not provided

Randstad

Expiration Date

July 16, 2026

Requirements

Deep expertise in data engineering with the ability to extend into backend services
Proven experience building pipelines for large-scale transactional or financial data
Fluency in Scala (Scio/Dataflow) and comfort with cloud-native development on GCP
Strong communication skills to collaborate with Finance, Product, and Engineering teams to ship auditable, reliable systems that meet regulatory scrutiny
Ability to thrive in fast-moving, ambiguous spaces while prioritizing long-term sustainability

Job Responsibility

Design scalable, robust systems that turn large-scale consumption and royalty data into accurate payouts
Build self-serve tools for our Finance team
Develop modular, easily maintainable platform capabilities

Fulltime

New

Data Engineer

Design, develop, and maintain data solutions, pipelines and analytics applicatio...

Location

United States , Alpharetta

Salary:

Not provided

IQZ Systems

Expiration Date

Until further notice

Requirements

MS or foreign equivalent in Computer Science or Engineering (any) or Information Systems or Data Science or Related
1 year experience in data storage, analysis and pipelines, ETL, Apache Kafka and Apache Storm

Job Responsibility

Design, develop, and maintain data solutions, pipelines and analytics applications using various tools and technologies including Hadoop, Spark, Hive, Kafka, SQL, MapReduce, Apache Kafka, Apache Storm, AWS, Snowflake etc
Gather & analyze requirements
Identify and implement process improvements
Assemble large, complex data sets to meet requirements
Implement methods to improve data reliability and data quality
Design and develop frameworks to stream data
Optimize data delivery and re-design infrastructure for greater scalability
Perform troubleshooting and provide issue resolution and similar duties

Fulltime

New

Data Engineer

As a Data Engineer in our Finance Systems and Analytics team, you’ll help design...

Location

United Kingdom , London

Salary:

Not provided

EDF UK

Expiration Date

July 12, 2026

Requirements

Experience building and maintaining data pipelines and scalable data products using structured and unstructured data
Strong knowledge of SQL, ideally within a Snowflake environment
Experience with at least one server-side language such as Python, Java, Kotlin or NodeJS or experience with Alteryx
Knowledge of event-driven, loosely coupled architectures and data processing patterns
Experience working with CI/CD tools such as Jenkins, GitHub or Terraform
Experience applying test-driven development or behaviour-driven development approaches
Experience with automated testing techniques within data or software engineering environments
Proven experience working in the energy industry
Ability to translate complex data concepts to non-technical stakeholders

Job Responsibility

Building and maintaining scalable data products that deliver insight across finance systems
Designing and optimising ETL processes to ensure data integrity and performance
Collaborating with engineers, analysts, and business teams to define and deliver data solutions
Contributing to agile delivery, including planning, retrospectives, and continuous improvement
Supporting the operational performance, monitoring, and reliability of data platforms

What we offer

Competitive salary and potential for an annual bonus
Market-leading pension scheme
Electric vehicle leasing
Discounted gym membership
Life assurance
Tech vouchers
Experience days

New

Data Engineer

Join us as a Data Engineer. At Barclays, we don’t just adapt to the future, we c...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong hands-on experience in ETL technologies, Ab Initio GDE and EME
Strong hands-on experience on SQL, Hive, Impala
Strong hands-on experience on Unix, Hadoop, Spark
Hands-on experience in Python
Experience working with cloud platforms, especially AWS
Strong knowledge of Data warehousing
Proficiency in Gitlab, CI/CD
Practical knowledge and hands‑on experience with AI-powered development tools such as Copilot, Claude Code, and GitLab Duo
Familiarity with data visualization tools such as Tableau, Grafana
Knowledge of data messaging platforms like Apache Kafka

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Data Engineer

Join us as a Data Engineer. At Barclays, we don't just adapt to the future, we c...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Hands on experience in Abinitio ETL tool
Hands on experience in python and pyspark and strong knowledge on Dataframes, RDD and SparkSQL
Hands on Experience in developing, testing and maintaining applications on AWS Cloud
Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena)
Experience in Writing advanced SQL and PL SQL programs
Experience in AWS data pipeline development
Hands On Experience for building reusable components using AWS Tools/Technology
Should have worked at least on two major project implementations

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

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