Job Description

Job Location

Bangalore, Karnataka, India

We are looking for an analytical, big-picture thinker who is driven to enhance and further the mission of Tredence by delivering technology to internal business and functional stakeholders. You will serve as a leader to drive the IT strategy to create value across the organization. This Data Engineer will be empowered to lead the engagement to focus on implementing both low-level, innovative solutions, as well as the day-to-day tactics that drive efficiency, effectiveness, and value

You will play a critical role in creating and analyzing deliverables to provide critical content to enable fact-based decision-making, facilitation, and achievement of successful collaboration with the business stakeholders. You will analyze, design, and develop best practices for business changes through technology solutions.

Technical Requirements

• Have Implemented and Architected solutions on the Google Cloud Platform using the components of GCP
• Experience with Apache Beam/Google Dataflow/Apache Spark in creating end-to-end data pipelines.
• Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, and Machine Learning.
• Experience programming in Java, Python, etc.
• Expertise in at least two of these technologies: Relational Databases, Analytical Databases, and NoSQL databases.
• Certified in Google Professional Data Engineer/ Solution Architect is a major Advantage

Roles & Responsibilities

Experience

• 6-8 years experience in IT or professional services experience in IT delivery or large-scale IT analytics projects
• Candidates must have expertise and knowledge of the Google Cloud Platform; the other cloud platforms are nice to have.
• Expert knowledge in SQL development.
• Expertise in building data integration and preparation tools using cloud technologies (like Snaplogic, Google Dataflow, Cloud Dataprep, Python, etc).
• Experience with Apache Beam/Google Dataflow/Apache Spark in creating end-to-end data pipelines.
• Experience in some of the following: Python, Hadoop, Spark, SQL, Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, and Machine Learning.
• Experience programming in Java, Python, etc.
• Identify downstream implications of data loads/migration (e.g., data quality, regulatory, etc.)
• Implement data pipelines to automate the ingestion, transformation, and augmentation of data sources, and provide best practices for pipeline operations.