Job Description

Role Purpose

This position is dedicated to bridging the gap between advanced technology and business insight, delivering robust, client-focused solutions. As a key contributor within our data analytics team, you will leverage your expertise to design and implement scalable data architectures that address complex business challenges. Your work will empower our clients by transforming raw data into actionable intelligence, supporting strategic decision-making and innovation.

This role demands a proactive approach to identifying technological opportunities and translating them into effective data solutions. You will collaborate across multidisciplinary teams to drive digital transformation initiatives that enhance data accessibility, quality, and value.

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We are seeking an accomplished Data Engineer with deep expertise in PySpark, Python, Hadoop, ETL, RDBMS, and Unix/Linux environments. Your primary responsibility will be to architect, construct, and optimize complex data pipelines and analytics platforms that support large-scale processing demands.

Key Responsibilities:

• Design, implement, and maintain high-performance, scalable data pipelines utilizing PySpark and Python scripts, ensuring efficient processing of vast datasets.
• Utilize components from the Hadoop ecosystem to facilitate distributed data processing and storage solutions.
• Develop robust and optimized ETL workflows for batch processing, ensuring data is accurately extracted, transformed, and loaded from diverse sources.
• Craft and optimize complex SQL queries to enhance data retrieval and manipulation within RDBMS systems.
• Engage in continuous data quality validation, monitoring, and troubleshooting to assure integrity and reliability of data outputs.
• Employ Unix/Linux commands and scripting for job scheduling, automation, and system maintenance, promoting operational efficiency.
• Collaborate with data scientists, analysts, architects, and business stakeholders to gather requirements and deliver scalable data solutions aligned with organizational objectives.
• Adhere to, and advocate for, best practices in coding standards, system performance tuning, and thorough technical documentation.

Required Skills:

• Proven proficiency in PySpark and Python, developing scalable data-driven solutions.
• Hands-on experience with Hadoop and its ecosystem, including ecosystem components such as HDFS, YARN, MapReduce, Hive, and HBase.
• Solid understanding of ETL processes, data warehousing principles, and architectures.
• Expertise in working with relational databases and SQL query optimization.
• Competency in Unix/Linux commands, shell scripting, and environment management.
• Strong grasp of data governance, data quality principles, and performance optimization methodologies.

Desirable Skills:

• Familiarity with Google Cloud Platform (GCP) Vertex AI and emerging Agentic AI frameworks to enhance AI-driven data workflows.
• Experience thriving in Agile software development environments, employing iterative delivery and continuous improvement techniques.

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Core Competencies

Success in this role requires an individual who is deeply client-focused, showing a passion for delivering measurable results with execution excellence. You should demonstrate a collaborative spirit, embracing teamwork to harness collective expertise and drive innovation.

Critical competencies include:

• Client Centricity: Anticipate client needs and proactively deliver tailored data solutions.
• Passion for Results: Prioritize impactful outcomes and strive for continuous improvement.
• Execution Excellence: Maintain attention to detail and rigor in delivery of high-quality solutions.
• Collaborative Working: Engage cross-functionally with stakeholders, fostering inclusive and productive partnerships.
• Learning Agility: Adapt quickly to emerging technologies and evolving business requirements.
• Problem Solving & Decision Making: Apply analytical thinking and sound judgment to overcome challenges.
• Effective Communication: Convey complex technical concepts clearly to diverse audiences.

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Mandatory Skills & Experience

• Extensive experience (5-8 years) in developing data engineering solutions using PySpark Open Source technologies.
• Proven track record in designing and managing data pipelines in complex, high-volume environments.
• Strong programming skills with an emphasis on coding standards, performance tuning, and maintainability.
• Hands-on experience integrating data from various sources, ensuring consistency and quality.
• Familiarity with Unix/Linux environments for automation, deploying jobs, and scripting.
• Strong communication skills to interact effectively with technical teams and business stakeholders.

This role demands an individual eager to reinvent their career within a dynamic environment powered by technological innovation and purpose-driven goals. At Wipro Technologies, you will join a forward-thinking community committed to digital transformation and continuous evolution.

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About Wipro Technologies

Wipro Technologies is a global leader in information technology, consulting, and business process services. Known for its robust commitment to innovation, diversity, and inclusivity, Wipro empowers individuals and organizations to achieve meaningful digital transformation.

As part of the TS - Data Analytics & AI practice within our Technology Services division, you will be integral to shaping the future of data-driven solutions that make a tangible impact on clients worldwide.

We pride ourselves on a culture that nurtures talent, encourages continuous learning, and supports the fearless pursuit of new ideas. Joining Wipro means engaging in a workplace where reinvention is a shared journey and where each team member contributes to a larger vision fueled by purpose.

Explore the opportunity to grow alongside a global network of experts and experience the benefits of working in an environment that values your skills, career aspirations, and unique contributions. Embark on a rewarding career path with Wipro Technologies today.