We have several active full-time positions with our direct clients and implementation partners across the United States (No C2C).| Full-Time Roles Only.
Client Location : New York, New Jersey, Texas, Georgia, Pittsburgh, Pennsylvania, Connecticut, Massachusetts, Chicago IL & North Carolina.
📢 #SheReturns Your career. Your experience. Your comeback. We welcome professionals looking to restart their careers after a career break! Our Return-to-Work Program is designed to help you relaunch your career and explore exciting full-time career opportunities.
Title: Entry-Level Data Engineer (Full-Time)
What We’re Looking For:
- Experience in designing, developing, and maintaining scalable data pipelines, ETL/ELT workflows, and enterprise data integration solutions.
- Programming expertise in Python, SQL, PySpark, Spark SQL, or Scala, with experience processing large volumes of structured and unstructured data.
- Experience with Apache Spark, Databricks, Hadoop, Apache Airflow, Kafka, or Snowflake for large-scale data processing and analytics.
- Experience building cloud-based data engineering solutions using AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Experience with cloud data services such as AWS S3, Glue, Redshift, Lambda, EMR, Athena, or Azure services including Azure Data Factory (ADF), Synapse Analytics, ADLS, and Azure Databricks.
- Understanding of data warehousing, dimensional modeling, star and snowflake schemas, data lakes, and lakehouse architectures.
- Experience developing and optimizing batch processing and real-time streaming pipelines using Apache Kafka, Spark Streaming, Flink, or Amazon Kinesis.
- Experience with data formats such as Parquet, Avro, ORC, CSV, and JSON, including data transformation, cleansing, validation, and quality management.
- Strong experience with relational and NoSQL databases such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, or DynamoDB, including query optimization and performance tuning.
- Experience implementing CI/CD pipelines, version control, and deployment automation using Git, Jenkins, GitHub Actions, Azure DevOps, or GitLab CI/CD.
- Understanding of data pipeline performance optimization, partitioning, indexing, distributed computing, monitoring, troubleshooting, and data governance.
- Experience integrating enterprise systems using REST APIs, event-driven architectures, microservices, and automated data workflows, with the ability to collaborate effectively in Agile/Scrum environments.
📢Please reach me at 732-348-5149 or you can send me your updated resume at [email protected]
📢 Next Steps:- I apologize in advance if there is a delay in my response. Please be assured that I will get back to you at the earliest opportunity. All applications will be reviewed carefully, and we sincerely appreciate your patience and understanding during this process.