Data Engineer

Role and 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 other data sources. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Design intuitive and visually appearing visualizations to communicate complex data insights to users using Streamlit, and Dash Enterprise Use Flask to develop APIs that integrate data from various sources and facilitate automation of business processes. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Candidate Profile: Required Qualification and Skills: Expert with a strong experience in data visualization using DASH. Solid understanding of best practices in data visualization and user centered design principles. Excellent communication skills to explain complex technical concepts to non-technical stakeholders. Experience in designing and implementing interactive, visually compelling, and performant data dashboards using Plotly Dash Enterprise and strong story telling experience is a must for this role. Experience in deploying Dash Enterprise apps on cloud platforms and ensure ongoing monitoring, updates, and enhancements based on user feedback. Ability to conduct real-time data exploration, predictive modeling integration and a seamless deployment of machine learning modules to GCP. Design and implement interactive, visually compelling, and performant data dashboards using Plotly Dash Enterprise. Strong experience with Python programming, particularly with libraries such as Plotly, Pandas, and NumPy. Strong Experience with JavaScript for front end development. 3+ years of experience in data engineering technologies like SQL, Hadoop, Big Query, Dataproc, Composer Knowledge of Flask for developing APIs and automating data workflows GCP data engineer certified to be preferred. Ability to understand and design the underlying data/schema Strong communication skills to effectively communicate client updates. What we offer:

• EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
• You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth
• Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
• We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
• Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.