Data Engineer

Key Responsibilities:

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure big data technologies.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Test databases and perform bug fixes.
• Develop best practices for database design and development activities.
• Ability to quickly analyse existing T-SQL code and make improvements to enhance performance, take advantage of new SQL features, close security gaps, and increase robustness and maintainability of the code.
• Take on technical leadership responsibilities of database projects across various scrum teams

Required Knowledge & Skills:

• Expert knowledge in Database like PostgreSQL (preferably cloud hosted), any cloud based Data Warehouse (like Snowflake , Azure Synapse) with strong programming experience in SQL.
• Competence in data preparation and/or ETL tools like snapLogic, MATILLION,, AWS Glue, SSIS (preferably strong working experience in one or more) to build and maintain data pipelines and flows.
• Programming language experience in Golang, Python, shells scripts (bash/zsh, grep/sed/awk etc..).
• Deep knowledge of databases, stored procedures, optimizations of huge data
• In-depth knowledge of ingestion techniques, data cleaning, de-dupe, partitioning.
• Experience with building the infrastructure required for data ingestion and analytics
• Ability to fine tune report generating queries
• Solid understanding of normalization and denormalization of data, database exception handling, transactions, profiling queries, performance counters, debugging, database & query optimization techniques
• Understanding of index design and performance-tuning techniques
• Familiarity with SQL security techniques such as data encryption at the column level, Transparent Data Encryption (TDE), signed stored procedures, and assignment of user permissions
• Experience in understanding the source data from various platforms and mapping them into Entity Relationship Models (ER) for data integration and reporting
• Adhere to standards for all database e.g., Data Models, Data Architecture and Naming Conventions
• Exposure to Source control like GIT, Azure DevOps
• Understanding of Agile methodologies (Scrum, Kanban)
• Preferably experience with NoSQL database to migrate data into other type of databases with real time replication.
• Understanding of data modelling techniques and working knowledge with OLTP and OLAP systems
• Experience with automated testing and coverage tools
• Experience with CI/CD automation tools (desirable)

Personal Attributes:

• Very good communication skills.
• Ability to easily fit into a distributed development team.
• Customer service oriented.
• Enthusiastic/High initiative.
• Ability to manage timelines of multiple initiatives.
• Very good attention to detail and the ability to always follow up.

Education UG : Any Graduate

Key Skills Snowflake / Redshift SQL Server Postgre sql AWS