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Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Designs, implements, automates, and maintains large-scale enterprise ETL processes for global clients. Acts as a data expert, delivers robust Test & Learn data solutions, enforces best practices (source control, code review, testing), and collaborates across global teams to meet project deadlines and quality standards.
Top Skills:
.NetETLMicrosoft Sql ServerPerlPythonRdmsSsisVbscript
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Lead architecture, design, and implementation of enterprise finance data platforms and lakehouse solutions. Drive Spark and Iceberg-based batch and streaming pipelines, Kafka event architectures, APIs/microservices, CI/CD, IaC, and governance. Mentor engineers and collaborate with product, finance, and cross-functional teams to meet regulatory reporting and data quality requirements.
Top Skills:
Apache IcebergApache KafkaSparkAWSCi/CdData GovernanceData MeshDevOpsInfrastructure-As-CodeMetadata ManagementMicroservicesPysparkRest Apis
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Design, build, and maintain cloud-native data pipelines and ETL/ELT workflows for high-volume trade lifecycle data. Integrate DTCC sources (RTTM, Settlement Web) into a Unified Trade Record, process ISO 15022 messages, manage trade exception databases, optimize SQL Server performance, and ensure data quality, lineage, governance, and observability while collaborating with business stakeholders.
Top Skills:
AWSDockerDtcc RttmDtcc Settlement WebEksEltETLFixFxmlIbm MqIndexingIso 15022KafkaKubernetesRdsRest ApiS3SQLSQL ServerStored ProceduresUnified Trade Record (Utr)
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Apache Kafka
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. The work environment encourages collaboration and continuous improvement to meet evolving data needs and support organizational objectives.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Monitor and optimize data workflows to enhance performance and reliability.
- Document processes and maintain clear communication regarding data architecture and pipeline status.
- Support junior team members by sharing knowledge and assisting with technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Apache Kafka.
- Experience with designing and managing real-time data streaming platforms.
- Strong understanding of data pipeline architecture and ETL processes.
- Familiarity with distributed systems and message queuing technologies.
- Ability to troubleshoot and resolve data flow issues efficiently.
- Knowledge of data storage solutions and integration techniques.
Additional Information:
- The candidate should have minimum 3 years of experience in Apache Kafka.
- This position is based at our Mumbai office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Apache Kafka
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also requires implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. The work environment encourages collaboration and continuous improvement to meet evolving data needs and support organizational objectives.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Monitor and optimize data workflows to enhance performance and reliability.
- Document processes and maintain clear communication regarding data architecture and pipeline status.
- Support junior team members by sharing knowledge and assisting with technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Apache Kafka.
- Experience with designing and managing real-time data streaming platforms.
- Strong understanding of data pipeline architecture and ETL processes.
- Familiarity with distributed systems and message queuing technologies.
- Ability to troubleshoot and resolve data flow issues efficiently.
- Knowledge of data storage solutions and integration techniques.
Additional Information:
- The candidate should have minimum 3 years of experience in Apache Kafka.
- This position is based at our Mumbai office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Airoli, Mahārāshtra, IND Office
Airoli, India
Accenture Mumbai, Maharashtra, IND Office
Ganpatrao Kadam Marg, off Senapati Bapat Marg, Lower Parel West, Lower Parel, Mumbai, Maharashtra, India, 400013
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