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Junior Data Engineering Specialist

4 months ago

New York, United States STV Group Full time

We are seeking a talented and motivated Junior Data Engineering Specialist to join our dynamic Digital Advisory team. As a Junior Data Engineering Specialist, you will play a key role in designing, developing, and maintaining data pipelines and systems to support our data-driven initiatives. You will work closely with data scientists, analysts, and software engineers to ensure efficient data processing, storage, and retrieval for our organization.

**Responsibilities**:
- Data Pipeline Development: Design, implement, and optimize data pipelines for ingesting, processing, and transforming structured and unstructured data from various sources.- Data Modeling: Develop data models and schemas to support data storage and analytics requirements, ensuring scalability, performance, and data integrity.- ETL Processes: Build and maintain Extract, Transform, Load (ETL) processes to facilitate data integration, cleansing, and enrichment.- Data Warehouse Management: Assist in the design and maintenance of data warehouses and databases, including performance tuning and optimization.- Data Quality Assurance: Implement data quality checks and monitoring processes to identify and resolve data issues and inconsistencies.- Data Security: Implement data security measures and best practices to ensure the confidentiality, integrity, and availability of sensitive data.- Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and software developers, to understand data requirements and deliver solutions that meet business needs.- Documentation: Document data engineering processes, workflows, and best practices, and contribute to technical documentation for reference and training purposes.Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or related field.- Strong understanding of data engineering concepts, principles, and best practices.- Proficiency in programming languages such as Python, R, or Scala for data manipulation and scripting.- Experience with data modeling, ETL tools, and data integration techniques.- Familiarity with relational databases (e.g., SQL, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).- Knowledge of data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery).- Understanding of cloud platforms and services, such as AWS, Azure, or Google Cloud Platform.- Excellent problem-solving skills and attention to detail.- Strong communication and collaboration skills to work effectively in a team environment.- Understanding of cloud platforms and services, such as AWS, Azure, or Google Cloud Platform.- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills to work effectively in a team environment.

Compensation Range:
$68,840.00 - $91,786.00

STV offers the following benefits - Health insurance, including an option with a Health Savings Account - Dental insurance - Vision insurance - Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) - Disability insurance - Life Insurance and Accidental Death & Dismemberment - 401(k) Plan - Retirement Counseling - Employee Assistance Program - Paid Time Off (16 days) - Paid Holidays (8 days) - Back-Up Dependent Care (up to 10 days per year) - Parental Leave (up to 80 hours) - Continuing Education Program - Professional Licensure and Society Memberships

STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.