Data Engineer
India - Chennai
Equiniti
At EQ, we engage customers with investments and enable organisations to grow.Management Level
GBusiness Division:
Business Function / Department:
Job Title:
Reporting to (Job Title): Head of Data Products
Date: 01/09/2024
Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries.
EQ India began its operations in 2014 as a Global India Captive Centre for Equiniti, a leading fintech company specialising in shareholder management. Within a decade, EQ India strengthened its operations and transformed from being a capability centre to a Global Competency Centre, to support EQ's growth story worldwide.
Capitalising on India’s strong reputation as a global talent hub for IT / ITES, EQ India has structured the organisation to be a part of this growth story. Today, EQ India has evolved as an indispensable part of EQ Group providing critical fintech services to the US and UK.
EQ’s vision is to be the leading global share registrar, offering complementary services to its client base and our values set the core foundations to our success. We are TRUSTED to deliver on our commitments, COMMERCIAL in building long term value, COLLABORATIVE in our approach and we IMPROVE by continually enhancing our skills and services. There has never been a better time to join EQ.
Role Summary
We are seeking a skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our data architecture, data pipelines, and ensuring data integrity across the organization. This role will focus on leveraging tools like Databricks and Power BI to enable data-driven decision-making and optimize our data infrastructure
Core Duties/Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and operational data needs.
- Collaborate with business and IT stakeholders to understand data requirements and deliver high-quality data solutions.
- Implement data workflows using Databricks, ensuring high performance and reliability of the data infrastructure.
- Integrate various data sources, ensuring data quality and consistency across the platform.
- Develop and manage data models, datasets, and reporting structures in Power BI to support business intelligence and reporting initiatives.
- Ensure data security, privacy, and governance compliance across the organization.
- Troubleshoot and resolve any data-related issues, ensuring system reliability and robustness.
- Continuously improve data engineering practices by adopting new tools, techniques, and industry best practices.
- Utilise DevOps tools such as Azure Dev Ops to ensure smooth deployment and monitoring of data infrastructure.
Skills, Capabilities and Attributes
The successful candidate will demonstrate the following experience, skills and behaviours:
Qualification / skills required:
- 2+ years of experience as a Data Engineer, with a focus on data architecture, ETL processes, and large-scale data systems.
- Hands-on experience with Databricks, Spark, or other distributed computing frameworks.
- Strong knowledge of Power BI, including dataset modeling, DAX, and report/dashboard creation.
- Experience working with SQL databases and writing complex SQL queries.
- Familiarity with cloud platforms (e.g., Azure, AWS) and cloud-based data solutions.
- Experience with programming languages such as Python or Scala.
- Strong understanding of data warehousing, data lakes, and big data technologies.
- Understanding of data governance frameworks and best practices
- Experience with version control tools like ADO and CI/CD processes.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication and collaboration skills.
Benefits:
Being a permanent member of the team at EQ you will be rewarded by our company benefits, these are just a few of what is on offer:
- 3 days of additional leaves on & above statutory requirement along with 2 days of voluntary leaves to pursue the CSR initiatives
- Business related certification expense reimbursement
- Comprehensive Medical Assurance coverage for dependents & Parents
- Cab transport for staff working in UK & US shift
- Accidental & Life cover 3 times of concerned CTC
We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note any offer of employment is subject to satisfactory pre-employment screening checks.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Big Data Business Intelligence CI/CD Databricks Data governance Data pipelines Data quality Data Warehousing DevOps Engineering ETL FinTech Pipelines Power BI Privacy Python Scala Security Spark SQL
Perks/benefits: Health care Startup environment
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