Data Engineer

Righttalentrightnow; Bengaluru; On-site; INR 1,000,000 - 1,400,000; Full time

Job summary

A global tech consulting firm is seeking an experienced Data Engineer to design and maintain large-scale data pipelines. In this role, you will work with Microsoft Fabric and Databricks, collaborating with various teams to enhance data quality and support data-driven decisions across the organization. Ideal candidates will have strong experience in data engineering, proficient in Python and SQL, and possess a solid understanding of cloud-based architectures. This position is based in Bengaluru, India.

Qualifications

• Experience in data engineering with cloud-based architectures.
• Proficient in Python, SQL, and data processing frameworks.
• Strong understanding of data architecture and governance.

Responsibilities

• Design, build, and maintain large-scale data pipelines.
• Collaborate with teams to integrate data solutions.
• Develop data quality checks and monitoring tools.

Skills

Data engineering

Cloud-based data pipelines

Microsoft Fabric

Databricks

Python

SQL

Apache Spark

Azure Data Factory

Collaboration

Agile methodologies

Education

Bachelor's Degree in IT or related field

Tools

Microsoft Fabric

Databricks

Azure

AWS

Git

Job description

Job Description

Industry IT-Software / Software Services / testing

Experience Range 8.0 - 10.0 Years

Qualification Graduates

Open

About Us

Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai. We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees.Read about us at https://aeriestechnology.com

About Business Unit

EQ Sirius US programme (Vega) scope is defined as the various outputs (Products) that will be created by the Work Streams that will enable the clients to be migrated from the FIS Sunstar system to the EQ Sirius systems. To deliver a transitional architecture that supports current (Sunstar) and new (Sirius) EQ solution platforms during the migration transition.

Roles and Responsibility

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’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

EQ’s Global IT function has begun a transformation journey to support EQ’s transition into a stronger, more profitable, product-led business, driven by real insights and the needs of its customers.

We are looking for a skilled Data Engineer to join our Data team. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data pipelines using Microsoft Fabric and Databricks. You will work closely with our Product and Engineering teams to ensure data flow and integration across our data ecosystem. Your expertise will help us to improve our data infrastructure, improve data quality, and enable data-driven decision-making across the organization.

Core Duties and Responsibilities

• Design, build, and maintain large-scale data pipelines using Microsoft Fabric and Databricks
• Develop and implement data architectures that meet business requirements and ensure data quality, security, and compliance
• Collaborate with wider Product & Engineering teams to integrate data pipelines with machine learning models and analytics tools
• Optimise data processing and storage solutions for performance, scalability, and cost-effectiveness
• Develop and maintain data quality checks and monitoring tools to ensure data accuracy and integrity
• Work with cross-functional teams to identify and prioritize data engineering projects and initiatives
• Stay up-to-date with industry trends and emerging technologies in data engineering and cloud computing

Skills Capabilities and Attributes

• Good experience in data engineering, with a focus on cloud-based data pipelines and architectures
• Experience in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management
• Proficiency in Python, SQL, Scala, or Java
• Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory
• Strong understanding of data architecture principles, data modelling, and data governance
• Experience with cloud-based data platforms, including Azure and or AWS
• Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams
• Experience with Azure Synapse Analytics, Azure Data Lake Storage, or other Azure data services
• Experience with agile development methodologies and version control systems such as Git
• Certification in Microsoft Azure, Databricks, or other relevant technologies