Suzuki Digital

Hi Kirti,

Job Title: Data Analytics Engineer

Experience: 3 to 6 years

 Location: Gurgaon (Hybrid)

Employment Type: Full-time

Job Description: 

We are seeking a highly skilled Data Analytics Engineer with expertise in Qlik Replicate, Qlik Compose, and Data Warehousing to build and maintain robust data pipelines. The ideal candidate will have hands-on experience with Change Data Capture (CDC) pipelines from various sources, an understanding of Bronze, Silver, and Gold data layers, SQL querying for data warehouses like Amazon Redshift, and experience with Data Lakes using S3. A foundational understanding of Apache Parquet and Python is also desirable. 

Key Responsibilities: 

1. Data Pipeline Development & Maintenance 

• Design, develop, and maintain ETL/ELT pipelines using Qlik Replicate and Qlik Compose. 
• Ensure seamless data replication and transformation across multiple systems. 
• Implement and optimize CDC-based data pipelines from various source systems. 

2. Data Layering & Warehouse Management 

• Implement Bronze, Silver, and Gold layer architectures to optimize data workflows. 
• Design and manage data pipelines for structured and unstructured data. 
• Ensure data integrity and quality within Redshift and other analytical data stores. 

3. Database Management & SQL Development 

• Write, optimize, and troubleshoot complex SQL queries for data warehouses like Redshift. 
• Design and implement data models that support business intelligence and analytics use cases. 

4. Data Lakes & Storage Optimization 

• Work with AWS S3-based Data Lakes to store and manage large-scale datasets. 
• Optimize data ingestion and retrieval using Apache Parquet. 

5. Data Integration & Automation 

• Integrate diverse data sources into a centralized analytics platform. 
• Automate workflows to improve efficiency and reduce manual effort. 
• Leverage Python for scripting, automation, and data manipulation where necessary. 

6. Performance Optimization & Monitoring 

• Monitor data pipelines for failures and implement recovery strategies. 
• Optimize data flows for better performance, scalability, and cost-effectiveness. 
• Troubleshoot and resolve ETL and data replication issues proactively. 

Technical Expertise Required: 

• 3 to 6 years of experience in Data Engineering, ETL Development, or related roles. 
• Hands-on experience with Qlik Replicate & Qlik Compose for data integration. 
• Strong SQL expertise, with experience in writing and optimizing queries for Redshift. 
• Experience working with Bronze, Silver, and Gold layer architectures. 
• Knowledge of Change Data Capture (CDC) pipelines from multiple sources. 
• Experience working with AWS S3 Data Lakes. 
• Experience working with Apache Parquet for data storage optimization. 
• Basic understanding of Python for automation and data processing. 
• Experience in cloud-based data architectures (AWS, Azure, GCP) is a plus. 
• Strong analytical and problem-solving skills. 
• Ability to work in a fast-paced, agile environment. 

Preferred Qualifications: 

• Experience in performance tuning and cost optimization in Redshift. 
• Familiarity with big data technologies such as Spark or Hadoop. 
• Understanding of data governance and security best practices. 
• Exposure to data visualization tools such as Qlik Sense, Tableau, or Power BI. 

Hi 

Job Title: Data Visualization Engineer 

Experience: 2 to 4 years 

Location: Gurgaon (Hybrid) 

Employment Type: Full-time 

Job Description: 

We are seeking a skilled Data Visualization Engineer with expertise in Qlik Sense and experience working with reporting tools like PowerBI, Tableau, Looker, and Qlik Sense. The ideal candidate will have a strong understanding of QVF and QVD structures, basic HTTP API integrations, and end-to-end data pipelines. Some knowledge of Python for data processing and automation will be a plus. This role will primarily focus on Qlik Sense reporting. 

Key Responsibilities: 

1. Data Visualization & Reporting 

• Design, develop, and maintain interactive dashboards and reports using Qlik Sense. 
• Work with PowerBI, Tableau, Looker, and Qlik Sense to create compelling data visualizations. 
• Ensure seamless data representation and storytelling through dashboards. 

2. Qlik Sense Development & Optimization 

• Develop and manage QVF and QVD structures for optimized data retrieval. 
• Implement best practices in Qlik Sense scripting, data modeling, and performance tuning. 
• Maintain and optimize existing Qlik Sense applications. 

3. Data Integration & API Interactions 

• Utilize basic HTTP APIs to integrate external data sources into dashboards. 
• Work with data teams to ensure smooth data ingestion and transformation for visualization. 

4. End-to-End Data Pipeline Understanding 

• Collaborate with data engineers to understand and optimize data flows from source to visualization. 
• Ensure data consistency, integrity, and performance in reporting solutions. 

5. Scripting & Automation 

• Utilize Python for data manipulation, automation, and minor custom integrations. 
• Improve reporting workflows through automation scripts and process optimizations. 

Technical Expertise Required: 

• 2 to 4 years of experience in Data Visualization or BI Reporting roles. 
• Strong experience with Qlik Sense (QVF & QVD structures, scripting, visualization). 
• Hands-on experience with PowerBI, Tableau, Looker. 
• Basic understanding of HTTP APIs for data integration. 
• Understanding of end-to-end data pipelines. 
• Knowledge of Python for automation and data transformation. 
• Experience in performance optimization of dashboards and reports. 
• Strong analytical and problem-solving skills. 

Preferred Qualifications: 

• Experience in data modeling and ETL concepts. 
• Familiarity with cloud-based data visualization solutions. 
• Understanding of data governance and security best practices. 

Job Title: Database Administrator (PostgreSQL) 

Experience: 3 to 6 years 

Location: Gurgaon (Hybrid) 

Employment Type: Full-time 

Job Description: 

We are seeking a skilled Database Administrator (DBA) with expertise in PostgreSQL and strong RDBMS concepts. The ideal candidate will be responsible for database performance monitoring, optimization, automation, and interaction with development teams to support business requirements. 

Key Responsibilities: 

1. Database Administration & Management 

• Manage, configure, and maintain PostgreSQL databases ensuring high availability and reliability. 
• Implement Primary-Slave replication architecture and ensure smooth data synchronization. 
• Work with AWS RDS for PostgreSQL database hosting. 
• Automate database backups and manage release versions for database changes. 
• Implement point-in-time recovery (PITR) backups in AWS RDS to ensure data integrity and disaster recovery. 

2. Performance Monitoring & Optimization 

• Regularly monitor database health and performance metrics. 
• Analyze and optimize slow queries to enhance application performance. 
• Fine-tune database performance using configuration parameters, buffers, connections, Disk IOPs, and memory. 

3. SQL Development & Optimization 

• Write, optimize, and maintain stored procedures, SQL functions, and SQL Views. 
• Implement indexing strategies to improve query performance. 

4. Collaboration & Requirement Analysis 

• Work closely with application developers and business analysts to understand new product requirements. 
• Provide recommendations on database design and architecture for scalable solutions. 

5. Database Security & Compliance 

• Implement best practices for database security, access control, and data integrity. 
• Ensure compliance with data governance and security policies. 

6. Automation & Maintenance 

• Automate database maintenance tasks such as backups, indexing, and archiving. 
• Establish monitoring and alerting systems to proactively address database issues. 

Technical Expertise Required: 

• 3 to 6 years of experience as a Database Administrator (DBA). 
• Strong knowledge of PostgreSQL and RDBMS principles. 
• Experience in writing stored procedures, SQL functions, and SQL Views. 
• Hands-on experience in query optimization and performance tuning. 
• Understanding of Primary-Slave architecture and replication setup. 
• Knowledge of database configuration tuning (buffers, connections, Disk IOPs, Memory, etc.). 
• Experience in automating database backups and version control for DB changes. 
• Familiarity with AWS RDS for PostgreSQL and point-in-time backup (PITR). 
• Experience in cloud-based database solutions (AWS RDS, Azure, GCP). 
• Strong problem-solving and analytical skills. 

Preferred Qualifications: 

• Experience in high-availability solutions and disaster recovery strategies. 
• Exposure to NoSQL databases is a plus. 
• Experience with database migrations and upgrades. 

Job description

Role: Business Analyst

Experience Level: 3+years

We are looking for a N2 Japanese Business Analyst bridges our Japanese clients and internal teams. Responsibilities include client needs, conducting business analyses and ensuring successful project delivery. The ideal candidate possesses N2-level Japanese, fluent English, background in business analysis, and 3+ years of relevant experience. This role offers opportunities to work with prestigious automotive brand and cutting-edge digital technologies.

ROLES AND RESPONSIBILITIES

• Client Communication: Act as the primary liaison between Japanese clients and internal

teams. Communicate effectively in Japanese (N2 level) and English to understand and translate

client requirements.

• Project Management: Collaborate with project managers, developers, and QA teams to ensure timely and successful delivery of projects. Monitor project progress and resolve any issues that arise.
• Requirement Gathering: Gather and document business and technical requirements from

stakeholders. Ensure all requirements are clearly understood and communicated to the

development team.

• Business Analysis: Conduct detailed business analysis to understand client needs, identify

gaps, and propose effective solutions.

DESIRED EXPERTISE/TECHNICAL EXPERTISE:

• JLPT N2 or higher certification is mandatory
• Fluent English (both written and oral) communication
• Bachelors degree in business administration, Information Technology, or a related field.
• Minimum 3-4 years of experience in business analysis (domain knowledge of Automotive will

be an added advantage)

• 3+ years of experience in business analysis, preferably in the automotive or digital solutions

industry

• Analytical Skills: Strong analytical and problem-solving skills. Ability to analyze complex

business processes and propose effective solutions.

• Communication Skills: Excellent written and verbal communication skills in both Japanese and

English. Ability to convey technical concepts to non-technical stakeholders.

• Technical Skills: Familiarity with digital technologies and automotive industry trends is a plus.

Proficiency in Microsoft Office Suite and Tools like Draw.IO, Confluence.