Senior Manager Data Engineering Role Overview The Role will be responsible for leading the analytics engagement for one of our Utilities clients We are looking for a high impact Analytics Data Engineering leader to set the vision strategy across business customer marketing data analytics for client This position requires proven track record of data engineering pipeline development A Data Engineer is responsible for designing building and maintaining systems and infrastructure that enable organizations to collect store and analyze large volumes of data efficiently They work closely with data scientists analysts and other engineers to ensure that data is processed and stored in a way that supports analytics machine learning and business intelligence initiatives Key Responsibilities Data Pipeline Development Design build and maintain scalable and reliable data pipelines to collect process and transform raw data into usable formats Automate the movement and transformation of data across various systems and sources ensuring data flows seamlessly Database Management Create and maintain robust data storage solutions including data warehouses data lakes and databases Ensure the database architecture is optimized for query performance scalability and security Handle data migrations backups and data restoration processes ETL Extract Transform Load Processes Build and manage ETL pipelines to extract data from various sources transform it to fit the needs of analytics and business intelligence and load it into storage systems Ensure data quality and consistency throughout the ETL pipeline Data Modeling Design and implement data models schemas and structures that efficiently store and retrieve data Work with stakeholders to ensure that the data model aligns with business requirements and optimizes performance Data Integration Integrate data from multiple sources internal and external into a unified platform Ensure proper data mapping transformation and consolidation across systems Data Governance and Security Implement data governance policies including data lineage data quality and compliance e g GDPR HIPAA Work with security teams to ensure that data is securely stored and accessed Performance Optimization Monitor and optimize data processing pipelines to handle increasing volumes of data efficiently Troubleshoot and resolve any performance bottlenecks in data processing and storage systems Collaboration Work closely with data scientists analysts and business stakeholders to understand data needs and deliver solutions that support analytics reporting and machine learning efforts Collaborate with software engineers to integrate data systems with other software applications Required Skills Programming Languages Proficiency in languages such as Python and SQL Data Pipeline Workflow Automation Experience with tools like Apache Kafka Apache Airflow Luigi or similar workflow management systems Databases Data Warehousing Knowledge of relational databases MySQL PostgreSQL NoSQL databases MongoDB Cassandra and cloud-based data warehouses Redshift BigQuery Snowflake Big Data Technologies Familiarity with big data platforms like Hadoop Spark and Hive Cloud Platforms Experience with cloud services such as AWS Google Cloud or Azure for data storage processing and analytics Data Modeling Architecture Experience in designing data models schemas and data storage architectures Version Control Systems Proficiency in Git and versioning tools for managing data workflows Data Quality Governance Understanding of data quality management data validation and governance frameworks Candidate Profile Educational Qualifications Typically a degree in Computer Science Information Technology Data Science or a related field Experience 5 years of experience in data engineering data management or software engineering with a focus on data systems Certifications Certifications in cloud platforms AWS Azure GCP or big data technologies can be beneficial Client Engagement Experience especially with senior stakeholders Effective communication and thought leadership with proven record Bachelor s Master s degree in economics mathematics computer science engineering or related analytics areas Prior experience in managing and delivering on end to end projects Outstanding written and verbal communication skills Able to work in quick pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe What we offer EXL Analytics offers an exciting fast paced and cutting-edge 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

📌 Senior Manager (Haryana)
🏢 EXL Service
📍 Haryana