JOBSEARCHER

Entry-Level Data Engineer- Return-to-Work Opportunity

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 javeed@ptcit.com📢 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.