Infosys is seeking a highly skilled and motivated Senior Consultant to join our DNA team. As a Senior Consultant you will be responsible for delivering high-quality data solutions, building and maintaining an entire data stack, and contributing to high-end innovative technological solutions with the client to develop data and AI led initiatives for transformation.
Requirements
- Excellent hands-on development experience in data engineering, data storage, analytics, and visualization tools and technologies
- Expertise in various technologies and methodologies to create efficient data pipelines, optimize data storage, processing and accessibility
- Work with data scientists, analysts, and business stakeholders to understand data requirements, develop and deliver data-driven solutions
- Designing, building, and maintaining scalable and reliable data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses and data lakes
- Defining and implementing data models, schemas, and architectures that ensure data quality, consistency, optimal performance, integrity and availability
- Experience in ETL process implementation, data warehousing, and potentially deploying machine learning models
- Experience in data modeling principles and data architecture design
- Ability to identify and resolve complex data-related issues, analyze performance bottlenecks, develop creative solutions and optimize systems for efficiency
- Managing and optimizing data warehousing solutions for efficient data storage and retrieval, performance and scalability
- Design, build and maintain batch or real-time data pipelines
- Advanced skills and experience with relational databases and database design
- Ability to write clean, efficient, and well-documented code
- Essential experience with cloud Data Warehouse solutions such as Snowflake, Redshift, BigQuery, Azure
- Hands On and strong experience in Coalesce or DBT
- Strong proficiency in scripting languages like Bash
- Strong proficiency in data pipeline and workflow management tools like Airflow, Azkaban
- Strong experience in big data technologies such as Hadoop, Spark, Kafka, Cassandra, and cloud-based solutions AWS EMR, Azure HDInsight, Google Cloud Dataproc
- Deep understanding of data modeling techniques, data warehousing principles, and experience with tools like Snowflake, Redshift, BigQuery
- Experience with cloud platforms (AWS, Azure, GCP) and their related services
- Proficiency in SQL and strong knowledge of various database technologies
- Expertise in designing and implementing efficient ETL and ELT pipelines
- Experience in data visualization tools like Tableau and Power BI
- Strong experience with data modelling techniques
- Strong analytical and problem-solving skills
- Provide guidance and mentorship to data engineers, leading projects and initiatives
- Keeping abreast of the latest trends and technologies in big data engineering and continuously learning and adopting new tools and techniques
Benefits
- Income Protection Insurance
- Paid Parental and Volunteer leaves
- Employee Assistance Program (EAP)
- Flexible working arrangements (hybrid, reviewed case-by-case basis)
- Health Insurance Discount and Well-being Program
- Access to Fitness and Gym Memberships
- Salary packaging and novated leasing
