Note: The job is a remote job and is open to candidates in USA. Precision Technologies is seeking a Junior Data Engineer to join their team. The role involves designing, developing, and maintaining scalable data pipelines and enterprise data integration solutions using various big data technologies and cloud services.
Responsibilities
- Minimum 4+ years of experience in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and enterprise data integration solutions
- Strong expertise in Python, SQL, PySpark, Spark SQL, and distributed data processing frameworks for handling large-scale structured and unstructured datasets
- Hands-on experience with big data technologies such as Apache Spark, Databricks, Hadoop, Airflow, Kafka, and Snowflake for enterprise data engineering workloads
- Experience building cloud-native data solutions using AWS, Azure, or GCP, including data ingestion, transformation, orchestration, and analytics platforms
- Strong knowledge of cloud services such as AWS S3, Glue, Redshift, Athena, Lambda, EMR, Kinesis or Azure Data Factory (ADF), Synapse Analytics, ADLS, Databricks, and Event Hubs
- Experience designing and implementing Data Warehouses, Data Lakes, Lakehouse architectures, Dimensional Modeling, Star Schema, and Snowflake Schema solutions
- Expertise in developing and optimizing batch processing and real-time streaming pipelines using Kafka, Spark Streaming, Flink, Kinesis, or Event-Driven Architectures
- Strong experience working with data formats including Parquet, Avro, ORC, CSV, JSON, XML, and implementing efficient data storage strategies
- Hands-on experience with relational and NoSQL databases such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, and DynamoDB
- Experience implementing CI/CD pipelines, DevOps practices, version control, and automation using Git, Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD, or similar tools
- Strong understanding of data quality, data governance, performance tuning, query optimization, partitioning, indexing, monitoring, and troubleshooting large-scale data platforms
- Experience working in Agile/Scrum environments, collaborating with Data Scientists, Analysts, Architects, and cross-functional teams to deliver business-driven data solutions
Skills
- Minimum 4+ years of experience in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and enterprise data integration solutions
- Strong expertise in Python, SQL, PySpark, Spark SQL, and distributed data processing frameworks for handling large-scale structured and unstructured datasets
- Hands-on experience with big data technologies such as Apache Spark, Databricks, Hadoop, Airflow, Kafka, and Snowflake for enterprise data engineering workloads
- Experience building cloud-native data solutions using AWS, Azure, or GCP, including data ingestion, transformation, orchestration, and analytics platforms
- Strong knowledge of cloud services such as AWS S3, Glue, Redshift, Athena, Lambda, EMR, Kinesis or Azure Data Factory (ADF), Synapse Analytics, ADLS, Databricks, and Event Hubs
- Experience designing and implementing Data Warehouses, Data Lakes, Lakehouse architectures, Dimensional Modeling, Star Schema, and Snowflake Schema solutions
- Expertise in developing and optimizing batch processing and real-time streaming pipelines using Kafka, Spark Streaming, Flink, Kinesis, or Event-Driven Architectures
- Strong experience working with data formats including Parquet, Avro, ORC, CSV, JSON, XML, and implementing efficient data storage strategies
- Hands-on experience with relational and NoSQL databases such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, and DynamoDB
- Experience implementing CI/CD pipelines, DevOps practices, version control, and automation using Git, Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD, or similar tools
- Strong understanding of data quality, data governance, performance tuning, query optimization, partitioning, indexing, monitoring, and troubleshooting large-scale data platforms
- Experience working in Agile/Scrum environments, collaborating with Data Scientists, Analysts, Architects, and cross-functional teams to deliver business-driven data solutions
Company Overview
Precision Technologies is one of the Fastest growing AI-first company focused on digital transformation and next-generation engineering; headquartered in New Jersey with multiple offices across the globe. It was founded in 2010, and is headquartered in Monmouth Junction, New Jersey, USA, with a workforce of 501-1000 employees. Its website is http://www.precisiontechcorp.com/.Company H1B Sponsorship
Precision Technologies has a track record of offering H1B sponsorships, with 6 in 2026, 68 in 2025, 50 in 2024, 56 in 2023, 43 in 2022, 87 in 2021, 49 in 2020. Please note that this does not guarantee sponsorship for this specific role.