Data Engineering Consultant - Global Analytics

Consultant: Global Analytic

Job Title:

Consultant: Global Analytic

Job Description

We’re Concentrix. A new breed of tech company — Human-centered. Tech-powered. Intelligence-fueled.

We create game-changing solutions across the enterprise, that help brands grow across the world and into the future. We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.

Our game-changers:

* Challenge Conventions

* Deliver outcomes unimagined

* Create experiences that go beyond WOW

If this is you, we would love to discuss career opportunities with you.

In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today’s hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of CX.

Concentrix provides eligible employees with an opportunity to enroll in many benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces. Specific benefits plans will vary by country/region.

We’re a remote-first company looking for the absolute best talent in the world. Experience the power of a game-changing career.

#LI-Onsite

We are a dedicated data and analytics team that provides support to one of our top Australian clients. Our primary focus is on collaborating with Operations and the Client to Design, Build, and Execute strategies that enhance customer experience (CX) and employee experience (EX). Additionally, we work closely with cross-functional teams, leveraging global best practices to equip Operations with valuable insights and tools. By partnering with various stakeholders, we aim to optimize operational efficiency and drive continuous improvement in service delivery.

Duties and Responsibilities:

Data Model Design:

• Develop and maintain a scalable and efficient data models and schemas that support the storage, processing, and retrieval of data.

Data Integration:

• Implement robust ELT (Extract, Load, Transform) processes to integrate data from various sources into a unified and consistent format.
• Ensure seamless data flow between different systems, databases, and applications.

Data Quality:

• Implement data validation and cleansing processes to ensure the accuracy and reliability of data.

Emerging Technologies:

• Stay abreast of emerging technologies and trends in the field of data engineering.

Database Management:

• Manage and optimize database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).

Performance Optimization:

• Identify and address performance bottlenecks in data processing and storage systems.
• Optimize queries, indexing strategies, and data partitioning for improved performance.

Scalability and Reliability:

• Ensure that data systems are scalable to handle growing volumes of data.
• Implement redundancy and fault-tolerance measures to enhance data system reliability.

Mandatory Skills Required:

• Strong hands-on expertise with AWS services such as S3, Glue, Lambda, Athena, Redshift, Step Functions, Streaming tools like Apache Kafka \ Amazon Kinesis.
• Proficiency in Python, PySpark, experience with ELT and orchestration tools
• Strong hands-on expertise on Apache Hudi \ Apache Iceberg
• Strong hands-on expertise in SQL
• Experience using GitHub for version control and collaboration
• Develop, optimize, and maintain ELT processes for data integration.
• Strong communication skills to interface with technical and business stakeholders.

Secondary Skills Required:

• Knowledge of cloud infrastructure automation (e.g., Terraform, CloudFormation).
• Experience with DevOps CICD pipelines and source code management.
• AWS Certification, experience in platform automation and monitoring frameworks.

Qualifications Required:

• Bachelor’s degree (B.A.) from four-year college or university, or equivalent combination of education and experience.
• 5+ years of experience in data engineering or a related role
• Proficient in data modeling, ELT development, and database management.
• Experience with big data technologies and distributed computing frameworks

Location:

IND Bangalore - 1st Floor Block G4 Aspen Building, Embassy Manyata Business Park

Language Requirements:

Time Type:

Full time

If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents

Experience Level

Senior Level