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 support professionals transitioning back into the workforce and exploring exciting full-time career opportunities.

• Title: Data Engineer (Full-Time)
• What We’re Looking For:
• Experience in designing, developing, and maintaining scalable data engineering solutions, data pipelines, ETL/ELT workflows, and enterprise data platforms.
• Expertise in Python, SQL, PySpark, Spark, Spark SQL, Scala, and distributed data processing technologies for handling large-scale datasets.
• Experience with Apache Spark, Databricks, Hadoop, Hive, Airflow, Kafka, Snowflake, and modern data engineering ecosystems.
• Experience building and deploying cloud-based data solutions using AWS, Azure, or GCP, with strong understanding of cloud data architecture and services.
• Experience with AWS services including S3, Glue, Redshift, EMR, Lambda, Athena, Kinesis, or Azure services including ADF, ADLS, Synapse, Databricks, Event Hubs, and equivalent GCP services.
• Experience designing and implementing ETL/ELT pipelines, data lakes, data warehouses, lakehouse architectures, dimensional models, star schemas, and snowflake schemas.
• Experience developing batch and real-time streaming data pipelines using Kafka, Spark Streaming, Flink, Kinesis, or similar distributed streaming technologies.
• Experience working with structured, semi-structured, and unstructured data using Parquet, Avro, ORC, CSV, JSON, XML, and other enterprise data formats.
• Working knowledge of relational and NoSQL databases including PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, DynamoDB, and experience with data modeling and optimization.
• Experience implementing data quality, data validation, data governance, security, monitoring, logging, and observability across enterprise data platforms.
• Experience with CI/CD, DevOps, version control, infrastructure automation, and deployment processes using Git, Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD, or similar tools.
• Experience in performance tuning, query optimization, partitioning, indexing, troubleshooting, API integration, and event-driven architectures, with strong analytical and problem-solving skills.

📢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.