Job Description

Role Purpose

We are seeking a seasoned Data Engineer specializing in Snowflake and Databricks to join our dynamic Technology Services team at Wipro Technologies. In this role, you will be responsible for supporting and enhancing data process delivery through the diligent oversight of Production Specialists’ daily performance, managing complex technical escalations, and fostering technical skill growth across the team. This position plays a critical role in ensuring robust, scalable, and efficient data engineering solutions that empower business insights and decision-making processes.

You will collaborate closely with cross-functional teams including data architects, analysts, and business stakeholders, contributing your expertise to design and implement end-to-end data solutions. Beyond operational support, you will lead initiatives to streamline workflows, enhance system reliability, and promote best practices in data engineering within a cloud-based environment.

Your role is essential in maintaining high standards for data quality, security, and governance, while driving continuous improvement in process efficiency and team capabilities. This is an excellent opportunity for highly motivated individuals passionate about driving digital transformation and innovation in data analytics.

͏

Key Responsibilities

• Design, implement, and optimize scalable data solutions using Snowflake and Databricks platforms to meet evolving business needs.
• Develop and maintain complex ETL/ELT pipelines integrating structured and semi-structured data from diverse sources, ensuring reliability and performance.
• Create and manage Snowflake objects including databases, schemas, tables, views, stored procedures, streams, and tasks to support robust data management and accessibility.
• Construct and optimize Databricks notebooks and Spark jobs leveraging PySpark and Spark SQL for advanced data transformation and analytics.
• Collaborate with cloud infrastructure teams to integrate data pipelines with cloud storage solutions and enterprise applications using APIs and connectors.
• Apply data modeling best practices including dimensional modeling, partitioning, and data partition strategies to enhance query performance and system scalability.
• Implement comprehensive data quality frameworks and enforce security protocols, access controls, and governance policies across the data platform.
• Engage proactively in troubleshooting, root cause analysis, and resolution of production issues to minimize system downtime and impact on business operations.
• Maintain detailed technical documentation and adhere to coding standards, testing methodologies, and release management processes to ensure consistency and maintainability.
• Drive continuous learning within the team through knowledge sharing, mentoring, and leading capability building initiatives.

Required Skills & Expertise

• Proven hands-on experience with Snowflake, including advanced querying with Snowflake SQL, managing Snowflake-specific features such as Snowpipe, Streams, Tasks, and implementing Time Travel and data sharing.
• Strong proficiency with Databricks platform, PySpark, Spark SQL, and Delta Lake architectures.
• Solid understanding of data warehousing concepts, cloud-based data architectures, and dimensional data modeling methodologies.
• Fluency in SQL and at least one programming language among Python, Scala, or Java, with practical experience in development and debugging.
• Experience in performance tuning, workload optimization, and implementing cost-effective design solutions in data engineering pipelines.
• Familiarity with DevOps practices, CI/CD pipelines, version control systems, and automated testing as they relate to data engineering workflows.
• Working knowledge of major cloud platforms such as Azure, AWS, or Google Cloud Platform, preferably with hands-on exposure to data services within these ecosystems.
• Strong analytical skills with an ability to communicate technical concepts effectively to both technical and business audiences.

͏

Deliverables and Performance Metrics

These metrics provide a foundation for ongoing assessments and continuous improvement, ensuring that both individual and team objectives align with organizational goals for operational excellence and customer satisfaction.

͏

Competencies

• Client Centricity: Demonstrates a commitment to understanding and fulfilling client needs with professionalism and empathy.
• Passion for Results: Exhibits strong drive and dedication to achieving measurable outcomes and surpassing goals.
• Execution Excellence: Maintains high standards for delivering quality in a timely manner, adhering to best practices and organizational processes.
• Collaborative Working: Fosters effective teamwork and partnerships across functions, encouraging open communication and shared success.
• Learning Agility: Continuously seeks knowledge, embraces change, and adapts quickly in a fast-paced environment.
• Problem Solving & Decision Making: Analyzes complex challenges, identifies root causes, evaluates alternatives, and implements effective solutions.
• Effective Communication: Articulates ideas clearly and confidently with technical and non-technical stakeholders, ensuring alignment and understanding.

͏

Mandatory Skills: Expertise in Snowflake Data Engineering is essential for this role.

Experience: Candidates should possess 5-8 years of progressive experience in data engineering, preferably within cloud-based environments utilizing Snowflake and Databricks.

At Wipro Technologies, we are building a future-ready enterprise and an innovative digital transformation partner dedicated to bold ambitions. We seek individuals who are inspired by reinvention — of themselves, their careers, and their skills. Joining our team means becoming part of a culture that embraces continuous evolution, promotes diversity and inclusion, and empowers employees to take ownership of their professional growth.

Our commitment extends beyond technology to fostering an environment where your contributions empower organizations worldwide to achieve transformative impact. If you are passionate about data, eager to learn, and ready to be a part of a collaborative and supportive team, this is the perfect opportunity to advance your career and contribute to shaping the future of data analytics and AI.