Senior Data Engineer

Key Skills

3D data processing, AWS, Azure, Continuous Integration & Continuous Delivery - CI/CD, Cyber Security, Data Analytics, Data Lake, Data science techniques, Database, Databricks, Design, DevOps, ETL frameworks, NoSQL, PySpark, Snowflake

Job Description

You will be working as Senior Data Engineer and will be reporting to Data Analytics & BI Manager & will be a part of Bangalore, India. In this role you will be primarily responsible for developing and enhancing complete and sizable software modules in the assigned software engineering function in one or more of the following areas of platform and application software development or software quality engineering / software testing / DevOPS / cyber security / software release / support and maintenance. Appling the principles of software engineering for analysis, design, development, unit and integration testing, and debugging of computer software based on distributed architecture including Cloud / on-premise /edge architecture and design. Providing accurate project schedule estimates and ensure successful completion with respect to deadlines.

Your responsibilities

• Working closely with the product owners and architects to develop cloud data platforms
• Partnering with cross-functional global teams to lead development of products solving complex business problems using data science and advanced analytics
• Designing and implementing efficient ETL processes and data pipelines in cloud environment
• Using Agile software development and DevOps practices to produce and roll out products and involvement with CI/CD platforms and pipeline deployments patterns
• Collaborating with technical and business teams and communicate effectively across channels
• Coaching and mentoring team members on development process and products, also refactoring code into reusable libraries, APIs, and tools
• Zeal to learn new things and implement learnings in an innovative manner

Your background

• Masters/ Bachelors in Technology in a Computer Science, Information Technology equivalent degree
• 5 to 8 years of experience in data engineering domain, developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions
• Working on developing solutions using either ADF, Data Lake, Databricks, PySpark or with AWS technologies
• Hands-on-experience in developing platform solutions using Snowflake, Azure, AWS or any other cloud technologies
• Proficiency in Software Development best practices
• Experience in designing scalable data warehousing solutions and streaming based integration patterns or stream processing
• Excellent debugging and optimization skills and experience in enterprise grade solution implementations & in converting business problems or challenges to technical solutions considering security, performance, scalability etc

More about us

ABB’s shared services organization which delivers operational and expert services in Finance, Human Resources, Information Systems, Legal, Global Travel Services and external Customer Contact Centers. With employees based in five main hubs and front offices, HR Services provides mainly Business services to ABB teams across the globe as well as supports with external customer inquiries. We look forward to receiving your application (documents submitted in English are appreciated). If you want to discover more about ABB, take another look at our website www.abb.com.