Senior Data Engineer

As a Senior Data Engineer at our organization, you will play a crucial role in the Data Engineering team within the Enterprise Data & Analytics organization. Your primary responsibility will be to design, build, and maintain both batch and real-time data pipelines that cater to the needs of our enterprise, analyst communities, and downstream systems. Collaboration with data architects is essential to ensure that the data engineering solutions align with the long-term architecture objectives. You will be tasked with maintaining and optimizing the data infrastructure to facilitate accurate data extraction, transformation, and loading from diverse data sources. Developing ETL processes will be a key part of your role to extract and manipulate data effectively. Ensuring data accuracy, integrity, privacy, security, and compliance will be a top priority, and you will need to follow quality control procedures and adhere to SOX compliance standards. Monitoring data systems performance, implementing optimization strategies, improving operational practices and metrics, and mentoring junior engineers will also be part of your responsibilities. To be successful in this role, you should possess a Bachelor's degree in Computer Science, Information Systems, or a related field, along with a minimum of 5+ years of relevant experience in data engineering. Experience with cloud Data Warehouse solutions (such as Snowflake) and Cloud-based solutions (e.g., AWS, Azure, GCP), as well as exposure to Salesforce or any CRM system, will be beneficial. Proficiency in Advanced SQL, relational databases, database design, large data sets, distributed computing (Spark/Hive/Hadoop), object-oriented languages (Python, Java), scripting languages, data pipeline tools (Airflow), and agile methodology is required. Your problem-solving, communication, organizational skills, ability to work independently and collaboratively, self-starting attitude, stakeholder communication skills, and quick learning and adaptability will be crucial for excelling in this role. By following best practices, standards, and contributing to the maturity of data engineering practices, you will be instrumental in driving business transformation through data.,