Develop and maintain scalable cloud-based data platforms, data lakes, warehouses, ETL/ELT pipelines, and real-time data systems. Responsibilities include data modeling, architecture, performance tuning, governance, security, testing, deployment, troubleshooting, documentation, and stakeholder collaboration. The role also provides technical leadership, mentors data engineers and DBAs, supports business intelligence requirements, and assists development and DevOps teams with SQL optimization and production data operations.
For nearly 40 years, PDI has helped convenience retailers and petroleum wholesalers adapt to changes in the industry by leveraging the latest technologies. Simplifying the complexity in your world is our main focus. That's why we're delivering an integrated portfolio of global, cloud-based solutions and services to meet our customers needs today and well into the future. From the back office to fuel logistics, and the latest wave of consumer demands and digital commerce, PDI solutions and services are designed to give you a competitive edge. Our deep domain knowledge is backed by our industry-specific software offerings and a people-first approach. Serving the entire supply chain means that we’ve had to solve a wide range of industry challenges and deliver measurable value. To address the increasingly dynamic convenience retail and petroleum wholesale industry, PDI leads the way with converged digital, cloud-optimized, secure, and scalable solutions including ERP, Loyalty, Fuel Pricing, Point-of-Sale and Logistics to create a broader industry ecosystem. The result is unparalleled insights, simplified operations, and higher profitability for your employees and business. We’re dedicated to helping our more than 1,500 customers in over 50 countries, providing solutions and services to over 200,000 sites.
The Opportunity:
If you love to develop great quality software and are eager to learn new technologies and develop new skills, then we have a great opportunity for you: join our PDI family and work closely with other talented PDI engineers to deliver solutions that delight our customers every day!
As a Data Engineer III, you will be part of an agile data services team responsible for developing and maintaining our industry-leading cloud-based big data and data analytics infrastructure serving major global fortune 500 companies. The candidate will help with design, development, unit testing, performance testing, deployment, troubleshooting, defect resolution, and support of our
Job Responsibilities:
- Utilize architectural and design skills for a variety of data-oriented tasks.
- Establish and maintain strong relationships with business stakeholders.
- Build highly reliable & scalable data systems with good data governance that provide complete, secure, accurate and timely data for analytics.
- Expertise in data & dimensional modeling with good business acumen in supporting new product features and services - including financial reporting.
- Assist development and analytics organization to meet its delivery goals with regards to data design, flow and infrastructure.
- Perform Data Modeling, Big data architecture design, support and implementation of OLTP, real time OLAP/data warehouse systems and ETL pipelines.
- Track/Build & monitor data/system KPI’s like storage, performance & usage
- Hands on administration of big data databases/compute engines (Redshift, EMR, Spark or similar) and optimization/tuning techniques
- Prepare required documentation as outlined by departmental standards.
- Identify, analyze and back track data problems as needed.
- Provide recommendations for application and system improvements.
- Mentor other team members
- Work with business users to understand business requirements, issues and business and/or client processes.
- Develop, test, and maintain high-performance of our data systems to meet the requirements of the business and/clients while adhering to departmental standards.
- Perform quality assurance testing for all work performed.
- Meet with agile teams as required to define and document application requirements.
- Follow project development, deployment process & maintain industry standards and best coding practices.
- Maintain security and organization of the company’s data.
- Provide off-hour support as assigned.
- Gather business requirements/features, estimate the tasks, design & develop scalable solutions.
- Work with manager to ascertain the company’s data requirements.
- Plan work to meet project deadlines, accommodate demands by development teams, set priorities and escalate issues appropriately.
- Provide recommendations to development teams for data restructuring and performing complex maintenance.
- Deploy and manage changes in development, staging and production.
- Assist development and dev ops teams on SQL queries and tuning.
Required Skills & Experience:
- At least 7 years’ experience in data engineering, Data modeling, SQL, ETL, Big database, Data warehousing & basic-level administration of data infrastructure
- At least 7 years coding experience in Java, Python, R or other equivalent programming language
- At least 4 years big data experience
- At least 2 years’ experience as technical lead architecting data lake/data warehouse/lake house systems & mentoring team of Data Engineers / DBAs
- Proficient in a variety of big-data tools and technologies, including Hadoop, Spark, etc., handling different storage formats like Parquet, Delta/Apache Hudi/Apache Iceberg, & managing/working with different OLTP systems & data ingestion mechanisms.
- Experience building large scale data lakes & warehouse systems leveraging cloud environments including AWS technologies –S3, Redshift, Aurora/RDS, DMS, EC2, Glue spark, Cloud watch, & EMR
- Experience with data orchestration tools like Airflow
- Experience in building pipelines, ingesting data from heterogeneous systems onto data lake environments in real time
- Proficient in Python, SQL and PL-SQL, query tuning, optimization, ETL, ELT, and Data Warehousing
- Proficient in Business Intelligence (BI), analytic database and products, able to take business requirements and translate into database tables, pipeline design and tasks.
- General data-specific concepts, frameworks and processes
- Agile development practices
- Working within an SDLC
- Designing data warehouses including definition, structure, documentation, maintenance, long-range requirements, operational guidelines, and protection
- Data governance, meta data management, data security measures, retention & archival across data lake layers
Other Skills and Experience
- Cloud experience, such as AWS, GCP or Azure
- Building/Managing data lake & lake house architectures.
- Experience working on different data lake storage formats.
- Excellent oral and written communication
- Multi-tasking and managing multiple priorities.
- Working well in a team-oriented, collaborative environment with people from different disciplines and varying degrees of technical experience
- Working in an Agile team environment.
Behavioral Competencies:
- Cultivates Innovation
- Decision Quality
- Manages Complexity
- Drives Results
- Business Insight
PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Owns technical product execution for CareSelect Imaging by translating strategy and customer needs into capabilities, features, user stories, acceptance criteria, and prioritized backlogs. Partners with distributed Engineering, Architecture, QA, Product, and Operations teams to manage dependencies, risks, planning, development, testing, releases, and validation. Communicates priorities and delivery status while improving requirements quality and predictability.
Top Skills:
AhaAzure DevopsDevOpsFhirHl7JIRARally
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Provides technical customer support to restaurant clients through chat, voice, and casework channels. Resolves hardware and software issues, explains technical concepts clearly, manages multiple interactions, meets SLA and KPI targets, collaborates with internal teams, and contributes to process improvements. Requires rotational 24/7 availability, including nights, weekends, and holidays, with initial office work in Chennai.
Top Skills:
Chat/Ticketing SystemsPos SystemsSaaS
Artificial Intelligence • Cloud • Information Technology • Consulting
Design and test engineering solutions for software, systems, and integrated products. Collaborate with internal and external development partners, validate technical specifications, and contribute to cross-functional teams delivering reliable, cost-effective solutions. The role requires basic knowledge of hardware design, electrical components, engineering tools, and material properties, along with strong analytical, communication, and teamwork skills.
Top Skills:
Electrical ComponentsEngineering Design SoftwareHardware Design
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
