Data Solutions EngineerProfessional Services
Data Solutions EngineerProfessional Services
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Job Description
About Us
Automation Anywhere is a leader in AIpowered process automation that puts AI to work across organizations. The companys Automation Success Platform is powered with specialized AI generative AI and offers process discovery RPA endtoend process orchestration document processing and analytics with a security and governancefirst approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains drive innovation improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AIpowered automation. Learn more atwww.automationanywhere
Key Activities
Data Pipeline Development: Design build and maintain scalable ETL/ELT pipelines for batch and realtime data processing.
Data Ingestion & Integration: Collect and integrate data from various structured and unstructured sources (APIs databases IoT logs).
Database & Warehouse Management: Optimize data storage solutions ensuring efficient querying and retrieval.
Data Transformation: Implement data cleaning transformation and enrichment processes to support analytics and ML workloads.
Performance Tuning: Optimize data processing performance by improving query indexing and storage formats.
Monitoring & Troubleshooting: Identify and resolve pipeline failures data inconsistenciesand system bottlenecks.
Data Security & Compliance: Ensure encryption masking and governance policies are applied to protect sensitive data.
Collaboration: Work closely with AI/ML engineers analysts and business teams to define data needs and solutions.
Automation & CI/CD: Implement automated testing deployment pipelines and infrastructureascode practices for data workflows.
Documentation: Maintain detailed documentation on data schemas workflows and best practices.
Continuous Learning: Stay updated with new technologies frameworks and industry best practices to enhance data engineering capabilities.
Skills & Qualification Criteria
58 years of handson experience in designing building and managing scalable data pipelines.
Proficiency in Python SQL or Java for data processing.
Technical experience in big data data science and public cloud
Strong experience with distributed computing frameworks like Apache Spark Hadoop or similarframeworks
Expertise in designing and managing data warehouses using platforms like Redshift or BigQuery.
Optimized database queries and stored procedures for improved performance of AWS Batch Jobs.
Handson experience in building and optimizing ETL/ELT pipelines using tools like Apache Airflow or similar tools
Experience with AWS (Glue Redshift S3 GCP (BigQuery Dataflow) or Azure. Cloud certifications are a plus.
Knowledge of realtime data processing tools like Apache Kafka Flink or Kinesis.
Experience with relational (PostgreSQL MySQL) and NoSQL databases for ex. Dynamodb
Understanding of data privacy compliance (GDPR HIPAA) and best practices for secure data handling.
Experience with DevOps practices version control (Git) and infrastructure as code
Ability to optimize SQL queries storage formats (Parquet ORC) and processing frameworks for efficiency.
Strong ability to work with data scientists ML engineers and business teams to meet data needs.
All unsolicited resumes submitted to any @automationanywhere email address whether submitted by an individual or by an agency will not be eligible for an agency fee.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
