Dataops Analyst Job at Collance (Noida Sector 62)

Senior DataOps/Cloud Data Engineer

Our client is looking for a Senior DataOps/Cloud Data Engineer for a 6 month con...

Location

Canada , Guelph

Salary:

Not provided

Randstad

Expiration Date

April 27, 2026

Requirements

Minimum 7 years Demonstrated hands-on experience building and maintaining end-to-end data pipelines in production
Minimum 7 years Strong expertise in SQL and Python from an engineering standpoint
Minimum 7 years Experience implementing data quality controls, monitoring, and troubleshooting with minimal escalation
Minimum 7 years Practical experience with modern data platforms (e.g., Microsoft Fabric or similar enterprise environments)

Job Responsibility

Design, build, and maintain end to end data pipelines using Microsoft Fabric, including Lakehouse, Data Factory, Dataflows, and notebooks
Develop and optimize SQL based transformations, data models, and curated datasets for enterprise reporting and analytics
Build and maintain Python based data engineering logic for ingestion, transformation, validation, and automation
Implement and operate data quality controls, including validation rules, reconciliation checks, and exception handling
Monitor data pipelines, investigate failures or data quality issues, and implement fixes with minimal escalation
Integrate data from multiple enterprise systems, including CRM, ticketing systems, telephony platforms, and operational databases
Maintain technical documentation, data lineage, and operational runbooks for owned pipelines and datasets
Work closely with the Manager and Data Analysts to ensure data assets meet defined standards and reporting requirements

What we offer

Earn a competitive rate within the industry
Potential for extension

Azure Data Engineer

We are seeking a visionary Azure Data Engineer to join an ambitious, cloud-first...

Location

Greece , Athens

Salary:

Not provided

Randstad

Expiration Date

Until further notice

Requirements

Proven professional experience with Azure Databricks, Azure Data Factory, and Azure SQL
Deep understanding of software engineering principles, including Git, CI/CD, and automated testing
Strong knowledge of Data Vault or Kimball techniques to design robust, business-aligned models
Proficiency in SQL, Python, and YAML is essential
A 'you build it, you own it' attitude, characterized by a proactive and entrepreneurial approach to problem-solving

Job Responsibility

Build and maintain high-performance ETL pipelines using Medallion Architecture, ensuring data moves seamlessly from source to insight
Take the lead in transitioning legacy workflows (SQL Server, ADF, SSRS/SSAS) into a sophisticated Databricks environment
Enhance platform capabilities by optimizing ingestion, transformation, and publishing processes
Champion 'DataOps' by identifying opportunities for process improvement and increasing overall platform efficiency
Act as a bridge between analysts and architects, ensuring all data products are optimized for observability, quality, and performance

Fulltime

Data Ops Engineer

We are looking for a skilled DataOps Engineer to operationalize and industrializ...

Location

India

Salary:

Not provided

Augusta Hitech Soft Solutions

Expiration Date

Until further notice

Requirements

8 years of experience in data engineering or DataOps roles
Strong expertise in building and operating data pipelines (ETL/ELT) and orchestration tools
Proficiency in Python, SQL, and at least one cloud platform (Azure Synapse, AWS Glue, GCP Dataflow preferred)
Hands-on experience with dbt, Airflow, Docker, Kubernetes, and Git
Experience with data quality, observability, and testing frameworks
Solid understanding of healthcare data concepts, compliance (HIPAA), and regulated environments
Excellent problem-solving, collaboration, and communication skills

Job Responsibility

Design, build, deploy, and optimize end-to-end data pipelines (ingestion, transformation, orchestration, and delivery) using modern DataOps practices
Implement CI/CD pipelines for data workflows, including version control, automated testing, and deployment of transformations (e.g., using dbt)
Orchestrate complex workflows with tools like Apache Airflow, Prefect, or cloud-native orchestrators
Establish monitoring, alerting, and observability for data pipelines — ensuring data freshness, quality, and lineage
Perform root-cause analysis on pipeline failures and implement preventive measures
Collaborate with data engineers, analysts, data scientists, and business stakeholders to translate requirements into reliable data products
Enforce data governance, quality frameworks, and compliance controls (HIPAA, PHI security) in all data processes
Automate infrastructure provisioning and support cloud data platforms (Azure, AWS, or GCP)
Contribute to continuous improvement of DataOps processes, tools, and standards in the managed services environment
Participate in on-call rotation and maintain SLAs for data availability and performance

Senior Data Engineer

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Bulgaria , Sofia; Varna

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Annual individual training and development budget
Refer a friend bonus
Teambuilding, social activities and networks on a multi-national level
Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full “Luxury” package health insurance including dental care and optical glasses

Fulltime

Scorecard Design and Management Lead Analyst

Citi is looking for a Hands-on Senior Data Engineer and Architect to join our te...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15 years of experience, Banking or Finance industry preferred
Great understanding business analysis, project management and solution design
Communicates effectively, develops, and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
able to drive consensus, and influence relationships at all levels
Must have broad understanding of the business technology landscape, the ability to design reports, and strong analytical skills
Excellent understanding of SQL, Python, Tableau
Know how to read/write to database systems, such as SQL, NoSQL (Graph, KV, Columnar), Object Storage, with ability to work with various data formats
To be familiar with the ETL processes and Task/Job Schedulers and ability to troubleshoot technical issues on your own
Experience in building and consuming APIs
Experience on DataOps, CI/CD, automation of ETL pipelines

Job Responsibility

Design, build and enhance high-performance, data-intensive solution from all the way to data acquisition, rendering, visualization, and distribution
Mandatory experience in Building and enhancing existing data quality process to ensure accuracy, timeliness and completeness of various dashboard and reports
Determines appropriateness, and guides revisions/refinement of presentation content and materials for Governance forums
Monitor and improve the reliability and performance, scalability of the data services
Coordinate work within team or project group - escalate where required in a timely basis
Liaises with multiple Data teams/departments and serve as subject matter for planning and analysis of project deliverables and processes
Prework on the governance agenda required and appropriately highlight the relevant dependencies and Risk. Work with the team to get the information up to date before senior management review

Fulltime

Scorecard Design and Management Lead Analyst

Citi is looking for a Hands-on Senior Data Engineer and Architect to join our te...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15 years of experience, Banking or Finance industry preferred
Great understanding business analysis, project management and solution design
Communicates effectively, develops, and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
able to drive consensus, and influence relationships at all levels
Must have broad understanding of the business technology landscape, the ability to design reports, and strong analytical skills
Excellent understanding of SQL, Python, Tableau
Know how to read/write to database systems, such as SQL, NoSQL (Graph, KV, Columnar), Object Storage, with ability to work with various data formats
To be familiar with the ETL processes and Task/Job Schedulers and ability to troubleshoot technical issues on your own
Experience in building and consuming APIs
Experience on DataOps, CI/CD, automation of ETL pipelines

Job Responsibility

Design, build and enhance high-performance, data-intensive solution from all the way to data acquisition, rendering, visualization, and distribution
Mandatory experience in Building and enhancing existing data quality process to ensure accuracy, timeliness and completeness of various dashboard and reports
Determines appropriateness, and guides revisions/refinement of presentation content and materials for Governance forums
Monitor and improve the reliability and performance, scalability of the data services
Coordinate work within team or project group - escalate where required in a timely basis
Liaises with multiple Data teams/departments and serve as subject matter for planning and analysis of project deliverables and processes
Prework on the governance agenda required and appropriately highlight the relevant dependencies and Risk. Work with the team to get the information up to date before senior management review

Fulltime

Senior Data Engineer

Our Senior Data Engineers enable public sector organisations to embrace a data-d...

Location

United Kingdom , Bristol; London; Manchester; Swansea

Salary:

60000.00 - 80000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Enthusiasm for learning and self-development
Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
Gathering and meeting the requirements of both clients and users on a data project
Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
Owning the cloud infrastructure underpinning data systems through a DevOps approach
Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them
Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines.
Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.)
To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics.

Job Responsibility

Enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients’ needs
Develop, operate, and maintain these services
Provide maximum value to data consumers, including analysts, scientists, and business stakeholders
Play one or more roles according to our clients' needs
Support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team
Play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account
Have a drive to deliver outcomes for users
Make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution

What we offer

30 days of paid annual leave + bank holidays
Flexible Parental Leave
Part time remote working for all our staff
Paid counselling as well as financial and legal advice
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

Fulltime

Big Data / Scala / Python Engineering Lead

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least two years (Over all 10+ hands on Data Engineering experience) of experience building and leading highly complex, technical data engineering teams
Lead data engineering team, from sourcing to closing
Drive strategic vision for the team and product
Experience managing an data focused product, ML platform
Hands on experience relevant experience in design, develop, and optimize scalable distributed data processing pipelines using Apache Spark and Scala
Experience managing, hiring and coaching software engineering teams
Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality
7 to 10+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems
Proficiency in Functional Programming: High proficiency in Scala-based functional programming for developing robust and efficient data processing pipelines
Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary

Fulltime

Dataops Analyst

Collance

Location:
India , Noida Sector 62

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

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Job Description:

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Nice to have:

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Job Posted:February 20, 2026

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