Data Engineer

Job Summary Position : Data Engineer Experience: 5- 8 years Location – Chennai Tessolve Semiconductors a venture of Hero Electronix, part of $5B Hero Group companies a Design and Test Engineering Service Company providing End to End Solutions from Product Engineering, Software, Hardware, Wireless, Automotive and Embedded Solutions. Currently we are 2300+ employees worldwide. We are Global Multi- National Company having Engineering and Sales presences in India, Malaysia, Singapore, USA, UK, Europe, and China.

Tessolve has strategic and sustainable growth plan to ensure the business stability to our valued customers and to protect the career of our employees even under disturbed Business situations. Responsibilities: Design and develop robust data pipelines, ETL processes, and data integration solutions to collect, transform, and load data from various sources into our data warehouse. Collaborate with cross-functional teams to identify data requirements and translate them into technical specifications and data models.

Optimize and tune database systems, queries, and ETL processes for performance and scalability, ensuring efficient data retrieval and storage. Implement data quality and validation mechanisms to maintain data integrity and accuracy. Develop and maintain documentation for data pipelines, data models, and data flow diagrams to facilitate understanding and collaboration among team members.

Monitor and troubleshoot data pipeline issues, database performance bottlenecks, and data-related problems to ensure smooth data operations. Stay up to date with emerging technologies and trends in the data engineering space, evaluating and recommending new tools and frameworks to improve data processing efficiency and overall system performance. Collaborate with data scientists and analysts to support their data needs, providing them with clean, reliable, and well-organized datasets.

Create and maintain reports and dashboards using Power BI or other visualization tools to enable data-driven decision-making across the organization. Utilize Python programming to develop and maintain data engineering solutions, including data manipulation, data cleansing, and automation of data processes. Requirements: Bachelor's degree in computer science , Information Systems, or a related field.

A master's degree is a plus. Proven experience as a Data Engineer or similar role, with a strong understanding of data management principles and best practices. Proficiency in SQL and experience working with both SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).

Experience with big data technologies, such as Hadoop, Spark, and related frameworks (e.g., Spark Streaming, PySpark ). Familiarity with cloud-based data platforms and services, preferably AWS or Azure (e.g., Amazon Redshift, Azure SQL Database, S3). Strong programming skills in Python, with the ability to write efficient and optimized code for data manipulation and automation.

Experience with data visualization tools like Power BI or Tableau, including creating interactive dashboards and reports. Familiarity with data warehousing concepts and experience working with tools like Apache Airflow or similar workflow management systems. Solid understanding of data security, privacy, and compliance standards.

Strong analytical and problem-solving skills, with the ability to quickly troubleshoot and resolve data-related issues. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Disclaimer: At Tessolve , we are committed to fostering a workplace that embraces and celebrates diversity in all its forms.

We believe that diverse teams drive innovation, creativity, and success. We are dedicated to creating an inclusive environment where all employees, regardless of their race, color , religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status, feel valued and respected. We believe in fair and equitable treatment for all employees and aim to eliminate any biases or barriers that may hinder personal or professional growth.