Senior Data Engineer at THINKIT U S DBA MINDERA SOFTWARE CRAFT

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

02 Apr, 26

Salary

0.0

Posted On

02 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Cloud, Databricks, Apache Spark, Python, SQL, ETL, Data Quality, Data Governance, CI/CD, Agile, Problem Solving, Stakeholder Management, Data Pipelines, Data Architecture, Performance Tuning, Version Control

Industry

Software Development

Description

We are seeking a highly skilled and proactive Data Engineer to join our team. The ideal candidate will have strong hands-on expertise with AWS cloud services, Databricks, Apache Spark, Python, and SQL, along with excellent communication and stakeholder engagement skills. You will play a key role in designing, building, and optimizing data pipelines and analytics solutions that support critical business initiatives.Key Responsibilities Design, develop, and maintain scalable data pipelines and transformation workflows using Databricks and Spark. Build and optimize ETL/ELT processes to ingest, cleanse, and prepare large datasets. Work with AWS services such as S3, Lambda, IAM, ECS and CloudWatch to support data architecture and operational needs. Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions. Ensure data quality, reliability, and performance across all data systems. Implement and enforce best practices for coding, version control, CI/CD, and environment management. Monitor and troubleshoot data pipelines, ensuring high availability and timely delivery. Contribute to architectural decisions, documentation, and process improvements. Strong hands-on experience with AWS Cloud (S3, Lambda, IAM, EC2 or equivalent). Extensive experience with Databricks, Delta Lake, and Unity Catalog. Proficiency in Apache Spark (PySpark preferred). Strong programming skills in Python. Excellent command of SQL, including performance tuning and working with large datasets. Experience working in fast-paced, agile environments. Strong problem-solving abilities and a proactive approach to identifying improvements. Excellent communication and stakeholder management skills; able to collaborate across multiple teams. Experience with data governance frameworks and tools (e.g., DataHub, Soda). Experience with CI/CD tools (GitHub Actions). Personal Attributes Proactive, self-driven, and highly accountable. Strong ownership mindset with the ability to work independently. Comfortable engaging with technical and non-technical stakeholders. Passion for building reliable, scalable, and high-quality data systems. We Offer Fun, happy and politics-free work culture built on the principles of lean and self organisation; Work with large scale systems powering global businesses; Competitive salary and benefits. About Mindera At Mindera we use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. We partner with our clients, to understand their product and deliver high performance, resilient and scalable software systems that create an impact in their users and businesses across the world. You get to work with a bunch of great people, where the whole team owns the project together. Our culture reflects our lean and self-organisation attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment. Check ot our Blog: http://mindera.com/ and our Handbook: http://bit.ly/MinderaHandbook Our offices are located: Aveiro, Portugal | Porto, Portugal | Leicester, UK | San Diego, USA | San Francisco, USA | Chennai, India | Bengaluru, India

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Responsibilities

Design, develop, and maintain scalable data pipelines and transformation workflows using Databricks and Spark. Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.