- 2-4 years of experience developing Data engineering, and ad-hoc transformation of unstructured raw data
- Use of orchestration tools
- Design, build, and maintain workflows/pipelines to process a continuous stream of data with experience in end-to-end design and build process of Near-Real-Time and Batch Data Pipelines.
- Expected to work closely with other data engineers and business intelligence engineers across teams to create data integrations and ETL pipelines to drive projects from initial concept to production deployment
- Maintaining and supporting incoming data feed into the data pipeline from multiple sources, including external customer feeds in CSV or XML file format to Publisher/Subscriber model automatic feeds.
- Knowledge of database structures, theories, principles and practices (both SQL and NoSQL).
- Active development of ETL processes using Python, PySpark, Spark or other highly parallel technologies, and implementing ETL/data pipelines
- Experience with Data Engineering technologies and tools such as Spark, Kafka, Hive, Ookla, NiFi, Impala, SQL, NoSQL etc
- Understanding of Map Reduce and other Data Query Processing and Aggregation models
- Understanding of challenges of transforming data across distributed clustered environment
- Experience with techniques for consuming, holding and aging out continuous data streams
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
- Ability to provide quick ingestion tools and corresponding access API's for continuously changing data schema, working closely with Data Engineers around specific transformation and access needs
- 1-2 years experience developing applications with Relational Databases, preferably with experience in SQLServer and/or MySQL.
- Some exposure to database optimization techniques for speed, complexity, normalization etc
- Ability to have effective working relationships with all functional units of the organization
- Excellent written, verbal and presentation skills
- Excellent interpersonal skills
- Ability to work as part of a cross-cultural team
- Self-starter and Self-motivated
- Ability to work without lots of supervision
- Works under pressure and is able to manage competing priorities.
- 3-7 years in development using Java, Python, PySpark, Spark, Scala, and object-oriented approaches in designing, coding, testing, and debugging programs
- Ability to create simple scripts and tools, using Linux, Perl, Bash
- Development of cloud based, distributed applications
- Understanding of clustering and cloud orchestration tools
- Working knowledge of database standards and end user applications
- Working knowledge of data backup, recovery, security, integrity and SQL
- Familiarity with database design, documentation and coding
- Previous experience with DBA case tools (frontend/backend) and third party tools
- Understanding of distributed file systems, and their optimal use in the commercial cloud (HDFS, S3, Google File System, Databricks)
- Familiarity with programming languages API
- Problem solving skills and ability to think algorithmically
- Working Knowledge on RDBMS/ORDBMS like MariaDb, Oracle and PostgreSQL
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Python Developer - Plano, United States - Avacend Inc.
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