Data Engineer – Senior Level

About the role

Skills: data warehouse, Architectural Patterns, Modern data engineering tools and framework, AWS, SQL, File Formats

Responsibilities Senior Data Engineer:
•Design, develop and own robust data pipelines, ensuring optimal performance, scalability, and maintainability.
•Design and implement Data Lake, Dare Warehouse and Lakehouse solutions with different architecture patterns.
•Ensure data quality, integrity and governance across all stages of data lifecycle.
•Monitor and optimize performance of data engineering pipelines.
•Contribute to design principles, best practices, and documentation.
•Collaborate closely with cross-functional teams to deeply understand business requirements, translating them into effective technical design, implementations that support the organization’s data-driven initiatives.
•Provide mentorship and guidance to other team members of the data engineering team, promoting knowledge transfer, a culture of continuous learning and skills development.

We are looking for Senior Data Engineer:
•Bachelor’s degree in computer science, Information Systems, or a related field. Master’s degree is a plus.
•A seasoned Data Engineer with a minimum of 8+ years of experience.
•Deep experience in designing and building robust, scalable data pipelines – both batch and real-time using modern data engineering tools and frameworks.
•Proficiency in AWS Data Services (S3, Glue, Athena, EMR, Kinesis etc.).
•Strong grip on SQL queries, various file formats like Apache Parquet, Delta Lake, Apache Iceberg or Hudi and CDC patterns.
•Experience in stream processing frameworks like Apache Flink or Kafka Streams or any other distributed data processing frameworks like pySpark.
•Expertise in workflow orchestration using Apache Airflow.
•Strong analytical and problem-solving skills, with the ability to work independently in a fast-paced environment.
•In-depth knowledge of database systems (both relational and NoSQL) and experience with data warehousing concepts.
•Hands-on experience with data integration tools and a strong familiarity with cloud-based data warehousing and processing is highly desirable.
•Excellent communication and interpersonal skills, facilitating effective collaboration with both technical and non-technical stakeholders.
•A strong desire to stay current with emerging technologies and industry best practices in data landscape.

What you'll do

• Own delivery for client-facing web, mobile, AI, cloud or digital transformation work based on the role.
• Collaborate with project managers, designers, QA and client stakeholders through discovery, build, launch and support.
• Write clear documentation, communicate risks early and keep delivery quality high.
• Contribute to reusable engineering practices, reviews and mentoring inside the WebSenor team.

What we're looking for

• Strong hands-on experience relevant to this role and a portfolio of shipped production work.
• Clear communication, ownership mindset and ability to work with global clients.
• Comfort with delivery discipline: estimation, reviews, testing, documentation and release readiness.
• Ability to learn fast and work across modern product, engineering and AI-enabled workflows.

What you'll get

• Work on real enterprise client projects with measurable business outcomes.
• Collaborate with experienced engineering, design, QA and delivery teams.
• Growth through mentoring, project ownership and exposure to global clients.
• HR-approved compensation, benefits and policies as finalized during the offer process.

About the team

You will work with WebSenor project managers, UI/UX designers, QA engineers, cloud specialists and senior developers focused on quality delivery for enterprise clients.

Our hiring process

• Application Review: HR and delivery leadership review your profile for role fit.
• Technical Discussion: Meet the technical team for skill, communication and project-readiness evaluation.
• Final Conversation: Discuss compensation, joining timeline and team fit.
• Offer and Onboarding: Receive the offer, documentation checklist and onboarding plan.