Data Engineer

Role Overview: A career in the New Technologies practice of the Advisory line of service in the Emerging Technologies sector at the Senior Associate level will provide you with a unique opportunity to assist clients in identifying and prioritizing emerging technologies to solve their business problems. You will help design approaches to integrate new technologies, skills, and processes to drive business results and innovation. Your focus will be on identifying and prioritizing emerging technologies, breaking into new markets, and preparing clients to maximize their emerging technology investments. Key Responsibilities: - Must have hands-on experience in Python, Pyspark & SQL - Extensive experience working with Data APIs, including REST endpoints and/or SOAP - Excellent working knowledge of relational databases such as MySQL and Oracle - Strong experience in writing complex SQL queries, including analytical functions, nested queries, and aggregation functions - Experience with Complex Data Parsing, including working with XML, JSON, and other custom formats - Knowledge of High-Speed Data Ingestion, Real-Time Data Collection, and Streaming is a plus - Experience with designing large Data Warehouse schema, both Relational and Non-Relational - Experience with building end-to-end data engineering solutions and architectures is a must - Good to have experience with visualization tools such as Tableau Qualifications Required: - Graduate Engineer or Management Graduate Additional Details: You will be working as a part of the Data Management team, responsible for Data Management, including a fully scalable relational database management system. This includes expertise in ETL (Extract, Transform, and Load) methods and tools to extract data from external sources, transform it to meet organizational needs, and load it into a target like the organization's data warehouse. Working experience with AWS is a plus. Good to have experience in AI/ML, BFSI clients, and tools like Anaconda/Jupyter. Mandatory Skill Set: - Python - Pyspark - SQL Preferred Skill Set: - AI/ML - Anaconda - Jupyter - AWS Year of Experience Required: - 4 to 7 years Role Overview: A career in the New Technologies practice of the Advisory line of service in the Emerging Technologies sector at the Senior Associate level will provide you with a unique opportunity to assist clients in identifying and prioritizing emerging technologies to solve their business problems. You will help design approaches to integrate new technologies, skills, and processes to drive business results and innovation. Your focus will be on identifying and prioritizing emerging technologies, breaking into new markets, and preparing clients to maximize their emerging technology investments. Key Responsibilities: - Must have hands-on experience in Python, Pyspark & SQL - Extensive experience working with Data APIs, including REST endpoints and/or SOAP - Excellent working knowledge of relational databases such as MySQL and Oracle - Strong experience in writing complex SQL queries, including analytical functions, nested queries, and aggregation functions - Experience with Complex Data Parsing, including working with XML, JSON, and other custom formats - Knowledge of High-Speed Data Ingestion, Real-Time Data Collection, and Streaming is a plus - Experience with designing large Data Warehouse schema, both Relational and Non-Relational - Experience with building end-to-end data engineering solutions and architectures is a must - Good to have experience with visualization tools such as Tableau Qualifications Required: - Graduate Engineer or Management Graduate Additional Details: You will be working as a part of the Data Management team, responsible for Data Management, including a fully scalable relational database management system. This includes expertise in ETL (Extract, Transform, and Load) methods and tools to extract data from external sources, transform it to meet organizational needs, and load it into a target like the organization's data warehouse. Working experience with AWS is a plus. Good to have experience in AI/ML, BFSI clients, and tools like Anaconda/Jupyter. Mandatory Skill Set: - Python - Pyspark - SQL Preferred Skill Set: - AI/ML - Anaconda - Jupyter - AWS Year of Experience Required: - 4 to 7 years