Lead Data Engineer

Lead Data Engineer Locations: Richmond - VA / McLean - VA/ Plano - TX / Chicago - IL / NYC - NY / Wilmington - DE (Preferred Location; Hybrid Role; Needs to work 3 days from Office in a week) Job Type: Long Term Contract Responsibilities: Lead the design, development, and deployment of scalable data engineering solutions that deliver operational and analytical data to third-party systems. Collaborate with data scientists, analysts, and other stakeholders to design and implement data pipelines and workflows. Ensure the smooth integration and real-time processing of data using cloud technologies like AWS. Develop and maintain efficient data warehousing solutions using Snowflake. Oversee the implementation and management of ETL pipelines using technologies such as AWS Glue, Spark, and Databricks. Optimize database performance and ensure data integrity across both SQL and NoSQL systems (including DynamoDB). Ensure high availability and reliability of data pipelines and services. Lead and mentor a team of data engineers, providing guidance on best practices and troubleshooting technical challenges. Implement and manage monitoring and alerting systems, using tools like AWS CloudWatch, Splunk, and New Relic. Ensure adherence to Agile engineering practices, including the use of JIRA for issue tracking and project management. Work with teams on production support and resolution of production incidents, including after-hours or weekend support as required. Required Skills and Qualifications: 10+ years of experience required Extensive experience with AWS technologies such as EMR, Glue, S3, Lambda, and CloudWatch. Strong programming skills in Python, Scala, Java, and experience with Spark. Proficiency with Databricks, SQL, and Bash scripting. Experience working with Data Warehousing solutions, particularly Snowflake. Hands-on experience with NoSQL databases, especially DynamoDB. Solid understanding of Agile engineering practices and experience with JIRA. Preferred Skills and Qualifications: Familiarity with Kafka for real-time data streaming. Experience with Airflow for orchestrating complex workflows. Knowledge of open table formats such as Delta, Hudi, or Iceberg. Experience with monitoring tools such as Splunk and New Relic. About Us: InterSources Inc, a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 16 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships. InterSources