Controller Technology - Data Engineering Lead - VP

Global Controllers Technology is looking for a hands-on Data Engineering Lead who is passionate about solving business problems through innovation and engineering practices. In this role, you will leverage your deep technical knowledge to drive the creation of a scalable and high-quality data intensive platform leveraging some of the latest methodologies such as Data Virtualization and Data Domains. You will also be expected to mentor other engineers, share your technical expertise, and promote a culture of technical excellence within the team. A Data Engineering Lead will serve as an example to other team members, work closely with stakeholders, and remove or escalate roadblocks. Additionally, he person will apply their knowledge of business intelligence/ data architecture standards, data warehousing, data structures, and assessment as strong contributors on an agile team. 

Responsibilities

• Develop deep understanding of business data model and execute defined data strategy for enterprise applications.
• Design, develop and implement scalable and reliable data architectures and pipelines to support analytical and operational needs.
• Evaluate and recommend tools, technologies, and best practices for data engineering.
• Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
• Demonstrating deep technical knowledge and expertise in software development, including programming languages, frameworks, and best practices. Providing guidance and mentorship to junior team members
• Lead and mentor a team of data engineers, fostering a collaborative and high performance work environment.

Qualifications:

• 8+ years of relevant experience in Technology implementing data intensive solutions using agile methodologies.
• Experience with real time data processing and data virtualization technologies such as Starburst, Snowflake, Flink will be preferred.
• Strong experience with data processing (e.g. Spark, Starburst, Snowflake, RedShift,), storage(e.g. Hadoop, MongoDB, Oracle) and ETL(e.g. Airflow, Ab-Initio, Talend) solutions.
• Experience with data engineering techniques like building data lakes and data warehouses, data mesh, data pipelines, ETL vs. ELT
• Experience with designing and developing distributed systems, handling structured and unstructured data to store, analyze and report.
• Experience with developing and maintaining large and complex database systems using relational databases like Oracle, and other big data technologies like Hadoop, Spark etc.
• Proficient in PL/SQL and Unix Shell scripts. Strong SQL, PL/SQL development and database tuning experience.
• Experience with Data Quality and data lineage.
• Experience in designing Online Transaction Processing (OLTP), Operational Data Store (ODS) and Data Warehouse applications.
• Consistently demonstrates clear and concise written and verbal communication.
• Proven ability to manage multiple priorities and work effectively under pressure.

Education:

• Bachelor’s degree/University degree or equivalent experience