Data Engineer Opportunity
Are you a data expert looking for a challenging role that will allow you to apply your skills and experience? We are seeking a highly skilled Data Engineer who can design, implement, and maintain large-scale data processing systems.
Key Responsibilities:
* Design and implement an AWS Serverless DataLake architecture to efficiently handle large volumes of data and support various data processing workflows;
* Develop data ingestion pipelines and data integration processes, ensuring the smooth and reliable transfer of data from various sources into the DataLake;
* Implement data transformation and data enrichment processes using AWS Lambda, Glue, or similar serverless technologies to ensure data quality and consistency;
* Collaborate with data scientists and analysts to understand their data requirements and design appropriate data models and schemas in the DataLake;
* Optimize data storage and retrieval mechanisms, leveraging AWS services such as S3, Athena, Redshift, or DynamoDB, to provide high-performance access to the data;
* Monitor and troubleshoot the DataLake infrastructure, identifying and resolving performance bottlenecks, data processing errors, and other issues;
* Continuously evaluate new AWS services and technologies to enhance the DataLake architecture, improve data processing efficiency, and drive innovation;
* Mentor and provide technical guidance to junior data engineers, fostering their growth and ensuring adherence to best practices;
* Collaborate with cross-functional teams to understand business requirements, prioritize tasks, and deliver high-quality solutions within defined timelines.
Requirements:
We are looking for a candidate with:
* Extensive experience (5+ years) working as a Data Engineer, with a strong focus on AWS technologies and serverless architectures;
* Experience working as a Data Engineer, with focus on Azure is valuable;
* In-depth knowledge of AWS services such as S3, Lambda, Glue, Athena, Redshift, and DynamoDB, and their capabilities for building scalable data processing systems;
* Proven expertise in designing and implementing AWS serverless architectures for large-scale data processing and storage;
* Strong programming skills in languages like Python, Java, or Scala, along with experience using SQL for data manipulation and querying;
* Hands-on experience with data integration and ETL tools, such as AWS Glue or Apache Spark, for transforming and processing data;
* English language proficiency;
* Familiarity with data modeling techniques and data warehousing concepts, including star and snowflake schemas;
* Solid understanding of data security, access control, and compliance requirements in a data-driven environment;
* Experience with data visualization tools (e.g., Tableau, Power BI) and the ability to collaborate with analysts and data scientists to deliver actionable insights;
* Strong problem-solving and analytical skills, with a detail-oriented approach to ensure data accuracy and integrity;
* Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
What We Offer:
* A collaborative, diverse, and innovative environment that encourages teamwork and professional development;
* Ongoing training and opportunities for career advancement;
* Competitive compensation and benefits package, including health insurance, dental plan, life insurance, transportation vouchers, meal/food voucher, childcare assistance, Gympass, TCS Cares, partnership with SESC, reimbursement of certifications, free TCS Learning Portal, international experience opportunity, discount partnership with universities and language schools, bring your buddy program, TCS Gems, Xcelerate;
* An inclusive culture that values diversity, equity, and inclusion, and strives to create a workplace where everyone feels welcome and valued.
We believe that our employees are our greatest asset, and we are committed to providing them with the resources and support they need to succeed. If you are a motivated and talented individual who is passionate about data engineering, we encourage you to apply for this exciting opportunity.