Python Developer / Data Engineer with Telecom background
Avacend Inc
Responsibilities
- 5+ 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
Qualifications
- 5 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
Expertise level
Work arrangement
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