Data Operations Analyst IV

We are DemandScience, a global company which never stops innovating in our mission to provide the healthiest and most predictive global B2B data and intelligence for our customers. Our clients include sales and marketing professionals at global companies. Excellent execution is in our DNA. We provide innovative AI-analytics merged with enriched data to identify your next in-market prospects and customers at scale.

Position Summary:

Providing senior-level expertise withing the data team, responsible for leading the design, development, and implementation of complex and large-scale data engineering projects, providing technical leadership, driving data engineering strategy, and ensuring the successful delivery of data solutions that support data-driven decision-making and business analytics.

Essential Job Functions “What You’ll Do”:

Data Architecture and Design:

• Lead the design and implementation of scalable and efficient data architecture, including data models, databases, data lakes, and data warehouses.
• Define data engineering principles, standards, and best practices.

Data Pipeline Development:

• Design and build robust and reliable data pipelines for data extraction, transformation, and loading (ETL) processes.
• Optimize data pipelines for high performance and scalability.

Data Transformation and Preprocessing:

• Oversee data cleansing, preprocessing, and transformation to ensure data accuracy and consistency.
• Implement data quality checks and anomaly detection mechanisms.

Data Storage and Management:

• Architect and manage data storage solutions to support efficient data access and retrieval.
• Evaluate and implement appropriate data storage technologies and data management systems.

Data Security and Governance:

• Ensure data security measures are in place to protect sensitive information and comply with data privacy regulations.
• Establish and enforce data governance policies for data access and usage.

Performance Monitoring and Optimization:

• Monitor and analyze data pipelines and database performance, identifying and resolving performance bottlenecks.
• Optimize data processing and storage for maximum efficiency.

Leadership and Mentorship:

• Provide technical leadership and mentorship to the data engineering team, fostering a culture of excellence and innovation.
• Guide and support other data engineers in their technical growth and career development.

Collaboration and Communication:

• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver effective data solutions.
• Communicate complex technical concepts and findings to both technical and non-technical audiences.

Automation and Tooling:

• Lead the development and implementation of data engineering automation and tooling to improve productivity and reliability.
• Evaluate and adopt emerging data engineering technologies and tools.

Data Documentation:

• Ensure comprehensive documentation of data pipelines, schemas, and processes.
• Document data lineage and data flow for audit and traceability purposes.

Essential Qualifications “What You’ll Need”:

• Bachelor's Degree in Computer Science, Data Science, Information Technology, or a related discipline.
• 8+ years Data Engineer, with a focus on complex and large-scale data engineering projects.
• Proven experience as a technical lead or principal data engineer, driving data engineering strategy and delivering successful data solutions.
• Expertise in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL.
• Extensive experience with data engineering tools and frameworks, such as Apache Spark, Apache Kafka, Apache Airflow, or similar technologies.
• Strong knowledge of database systems, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
• In-depth understanding of data modeling concepts, database design principles, and data architecture patterns.
• Thorough knowledge of data security, data privacy, and data governance best practices.
• Excellent analytical and problem-solving skills, with meticulous attention to detail.
• Exceptional communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
• Proven ability to lead and mentor a team of data engineers.
• Continuous learning mindset to stay updated with the latest trends and advancements in data engineering.

THE GOOD STUFF!

We embrace diversity and inclusion and encourage our amazing team members at DemandScience to bring their authentic, fun selves to work every day. We offer a culture of innovation, mutual respect, support, and transparency. The competitive and comprehensive benefits our team members enjoy are designed to ensure you and your family members are healthy. Check this out!

• Paid time off
• Medical provided through HMO
• Life Insurance
• Peer-Appreciation Program
• Employee Referral Program
• A fast-paced, innovative culture with an open and collaborative environment, where you can make an impact.
• Join a great organization that cares about employees!

DemandScience is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

Find out more at https://demandscience.com/careers/#join-the-team

Originally posted on Himalayas