Senior Data Engineer

Posted 10 Hours Ago
Be an Early Applicant
Hyderabad, Telangana
Senior level
Information Technology • Consulting
The Role
The Senior Data Engineer will develop and maintain complex data pipelines, ensuring data quality and security. Responsibilities include the design of data solutions, managing integration roadmaps, and implementing data observability. The role requires hands-on experience with Azure tools and scripting languages, collaborating with teams in an agile environment.
Summary Generated by Built In

Senior Data Engineer

Location: Hyderabad - Hybrid

Coeo are trusted data management and analytics experts, delivering technology strategy and support for business. The team have deep technical and commercial experience working with Microsoft Data Services to help our clients optimise their costs and maximise the benefits from their investments in these technologies. Coeo has been established for over 15 years and has offices in Reading, UK and Hyderabad, India.  We are exclusively focused on Microsoft technologies. Our mission is to “help our clients predict their future” through the better use of data, technology, people, and processes. To do this our business has always focused on:

  • Data Managed Services
  • Data Platform Consultancy
  • Analytics Consultancy
  • Artificial Intelligence Consultancy
  • Adoption and Change Management

But above all, Coeo’s most important asset is its people and at Coeo we are really focused on investing time, attention, and resources into building a culture that truly values its people.

We are growing our teams in India to support our ongoing customer requirements in Managed Services, Consulting and Development. 

Coeo are recruiting for a strong Senior Data Engineer, and we’ll give you the opportunity to grow and develop your capabilities as well as supporting you through Microsoft certifications. You’ll have experience in:

  • Developing low to high complexity, secure, governed, high quality and efficient data pipelines from a variety of on and off premise, internal and external data source.
  • Ensuring that data is cleansed, mapped, transformed and optimised for storage to meet requirements for business and technical use cases.
  • Building data observability and data quality by design into all Data pipelines, promoting self-testing pipelines that proactively identify processing issues or discrepancies.
  • Take all requirements into account when creating a proposal
  • Understanding and evaluating the organisational impact of new technologies and digital services
  • Troubleshooting and resolving issues

You may be building solutions that transform data into data lake storage areas, physical database models and reporting structures across data lakes, data warehouse, business intelligence systems and analytics applications. You may also be required to carry out unit testing of own code and peer testing of others to ensure appropriate quality.

Experience

  • Experience of working with large, event based, datasets in an enterprise environment.
  • Minimum 6 years within an Azure or SQL Data Engineering environment
  • Engineering and database skills in SQL Server and/or Azure (Data Factory, Synapse) and the associated ETL technologies.
  • Experience developing, driving & maintaining Data Integration Roadmaps and best practices.
  • Overall responsibility of all technical business requirements gathering deliverables and implementation.
  • Ability to deliver high to low-level designs for Data Solutions and have a good understanding of the full data lifecycle.
  • Hands-on experience in designing and developing scripts for custom ETL processes and automation in Azure Data Factory, Azure Databricks, Azure Synapse, Python, Pyspark etc.
  • Hands-on experience designing and developing stored procedures/functions and leveraging ETL packages/workflows
  • Expertise in Cloud related Big Data integration and infrastructure tech stack using Azure Databricks & Apache Spark framework
  • Well-versed with scripting languages such as Python
  • Experience of Continuous Integration / Continuous Delivery (CI/CD).
  • Experience of working in an agile environment and self-managing teams.
  • Understanding and practical knowledge of testing techniques and tools

Desired technologies

  • Big Data
  • Azure
  • Spark
  • Python
  • Azure Databricks
  • Azure Synapse
  • Azure Data Factory
  • SQL Server

Benefits

  • Company bonus scheme driven by yours and our success
  • Comprehensive benefits package
  • We care about your wellbeing so have invested resources and training help to ensure you can be at your best with us
  • Very friendly, inclusive culture, family-feel and strong camaraderie
  • Company growth and new projects means on going career progression options
  • Up to date technology, so collaboration has never been easier
  • Cutting edge technology projects – exciting goals ahead!

 Click Apply or visit our Careers page at www.coeo.com.  For a full Job Description and further information on the benefits of working with us, please email [email protected]

Diversity and Inclusion

Coeo are an equal opportunity employer which celebrates Diversity and has a commitment to Inclusion. All applicants will be considered for employment with us without attention to age, race, colour, religion, sex, sexual orientation, gender identity, national origin, and disability status.

Top Skills

Python
SQL
The Company
Berkshire
92 Employees
On-site Workplace
Year Founded: 2007

What We Do

We help businesses realise their full potential through better use of data and Artificial Intelligence.

We have specialised in Microsoft Data and AI solutions since 2007, and hold three independently audited Microsoft Specialisations:
- Windows and SQL Modernisation
- Azure Analytics
- AI and Machine Learning

As a Microsoft Fabric Feature Partner, we’re recognised for our expertise in Microsoft’s unified analytics platform, giving us priority access to the latest features allowing us to deliver cutting-edge solutions for our clients.

Our services span data and AI strategy, design, development, and managed services, allowing us to support you wherever you are on your journey. By partnering with us, you can reduce risk, optimise investments, and build scalable, robust solutions that deliver lasting value to your business.

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