Anagh Technologies Inc

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Malvern, PA, offering a long-term contract. Key skills include Python, Apache Spark, AWS Glue, and CI/CD with GitHub Actions. Requires 7+ years of experience, strong SQL, and financial services industry experience preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
July 30, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Malvern, PA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Processing #ML (Machine Learning) #AI (Artificial Intelligence) #Consulting #Athena #Data Engineering #Databricks #Java #Kafka (Apache Kafka) #Terraform #Scrum #Business Analysis #GitHub #AWS Glue #Data Extraction #Apache Iceberg #Data Modeling #Cloud #Python #Snowflake #GIT #Computer Science #Programming #S3 (Amazon Simple Storage Service) #Spark (Apache Spark) #SQL (Structured Query Language) #Apache Spark #AWS (Amazon Web Services) #Data Pipeline #Lambda (AWS Lambda) #Scala #React #PySpark #Airflow #Angular #Delta Lake #Data Lake #Agile
Role description
Hello, We have 2 urgent openings for "Data Engineer". These are hybrid roles Title: Data Engineer Location: Malvern, PA (Hybrid) Duration: Long term Contract Onsite Interview Job Responsibilities We are seeking high-caliber Data Engineers to drive the B2B Service Experience and Financials initiatives. In this pivotal role, you will architect, implement, and optimize sophisticated data pipelines, partnering with business analysts to guarantee the seamless availability and absolute integrity of data powering our core financial engines and reporting ecosystems. Technical Stack & Requirements: Core Competencies: Python, Apache Spark (PySpark), AWS Glue ETL, Data Lake concepts (Medallion Architecture). Infrastructure: CloudFormation/Terraform, CI/CD with GitHub Actions. Core Responsibilities: Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability. Qualifications: β€’ Bachelor’s degree in Computer Science or related field. Strong hands-on experience with Apache Spark and Glue. β€’ Proven ability to work with Python-based data pipelines. β€’ Experience with Git and GitHub Actions is mandatory. Required Qualifications β€’ Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline. β€’ 7+ years of enterprise Data Engineering experience. β€’ Strong Python development experience. β€’ Advanced SQL programming skills. β€’ Extensive experience with Apache Spark and PySpark. β€’ Hands-on experience with AWS data services including: S3 AWS Glue Athena Lambda Step Functions EventBridge β€’ Experience building enterprise ETL and ELT pipelines. β€’ Strong understanding of distributed data processing. β€’ Experience working with large-scale cloud data platforms. β€’ Strong knowledge of dimensional data modeling. β€’ Experience implementing CI/CD pipelines. β€’ Familiarity with Agile/Scrum methodologies. β€’ Excellent communication and stakeholder management skills. Preferred Qualifications β€’ Financial Services or Asset Management industry experience. β€’ Experience with Snowflake or Databricks. β€’ Knowledge of Apache Iceberg, Delta Lake, or Hudi. β€’ Experience with Airflow. β€’ Knowledge of Kafka or Kinesis streaming. β€’ Experience supporting AI/ML and advanced analytics platforms. β€’ AWS Professional or Specialty Certifications. ABOUT US: Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, AI and Java. If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to rohit AT anaghtech.com. Thank you for your time.