Senior Data Engineering Analyst - Data Engineering

Primary Responsibilities:

• Ensures that all the standard requirements have been met and is involved in performing the technical analysis
• Assisting the project manager by compiling information from the current systems, analyzing the program requirements, and ensuring that it meets the specified time requirements
• Resolves moderate problems associated with the designed programs and provides technical guidance on complex programming
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Graduate degree or equivalent experience
• 4+ years of experience in database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning
• Good hands-on experience in Azure, ADF and Databricks
• Experience in RDBMS like Oracle, SQL Server, Oracle, DB2 etc.
• Knowledge of Azure, ADF, Databricks, Scala, Airflow, DWH concepts
• Good knowledge in Unix and shell scripting
• Good understanding of Extract, Transform, and Load (ETL) Architecture, Cloud, Spark
• Good understanding of Data Architecture
• Understanding of the business needs and designing programs and systems that match the complex business requirements and records all the specifications that are involved in the development and coding process
• Understanding of QA and testing automation process
• Proven ability to participate in agile development projects for batch and real time data ingestion
• Proven ability to work with business and peers to define, estimate, and deliver functionality
• Proven ability to be involved in creating proper technical documentation in the work assignments

Preferred Qualifications:

• Knowledge of Agile, Automation, Big Data, DevOps, Python, - Scala/Pyspark programming, HDFS, Hive, Python, AI/ML
• Understanding and knowledge of Agile