Data Engineering - Assistant IT Manager

Key Skills

Java Programming, SAP, Oracle, Python Programming, MongoDB, SQL, API, AWS, PowerBI, Apache Hadoop, Apache Kafka, Machine learning techniques, Data science techniques, Google BigQuery, NoSQL, Tableau, Apache Airflow, Kubernetes-K8s, Continuous Integration & Continuous Delivery - CI/CD, Neo4J, Postgres, MySQL, SPARK Programming, Data pipelines, Luigi

Job Description

• Understand and apply information technology standards to daily support and project implementation activities
• Apply conceptual knowledge of business processes and technology to solve highly complex business processes and procedural problems
• Manage and/or perform the design, build and testing of business applications and its architecture in line with agreed time frames, business requirements and global standards
• Maintain production systems reliability through correct utilization of GIT standard support and governance processes
• Support day to day business requirements according to global SLA
• Deliver solutions to solve business requirements considering priorities and resources availability

You connect the dots -

• Ensure the proper use of information technology project management methodology to comply of information technology governance practices
• Ensure proper documentation of processes, knowledge acquisitions and transfers
• Review program codes and suggest correction in case of any errors
• Conduct performance tuning to improve system performance over multiple business processes

You are a collaborator -

• Collaborate with business and functional teams, develop detailed plans and accurate estimates for completion of build, system testing and implementation phases of project

You are a mentor / coach -

• Manage / guide members to implement cross functional projects / initiatives leveraging project management standards
• Mentor and coach junior resources

You are an innovator -

• Stay updated with the latest technological advancement. Adapt to these changes by self-training and research work and evaluate how / where it can add value to the business

What you’ll need…(Required)

• We are looking for a candidate with minimum 8 years of experience in a Architect role
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• They should also have experience using the following software/tools:
• Experience with relational SQL and NoSQL databases: MongoDB, Neo4j, etc
• Experience with cloud services: GCP, AWS, etc
• Experience with object-oriented/object function scripting languages: Python, Java, etc.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with Data Flow, Data Pipeline and workflow management tools: Cloud Composer, Airflow, Luigi, etc.
• Knowledge on SAP technical architecture is preferred
• Knowledge on Database, Server and Operating Systems
• Knowledge on SAP Cloud Platform, SAP API, Python, Google Cloud Platform
• Knowledge on new dimensional technologies like Machine Learning, RPA, Data Science
• Strong oral & written communication skills
• Ability to identify, analyze, and resolve problems logically
• Ability to troubleshoot and identify root cause
• Should be flexible and adaptable to new technologies

What you’ll need…(Preferred)

• Demonstrate strong experience in architecting Analytics Applications in GCP and various services like Google Compute, BigQuery, Google Cloud Storage, Google Kubernetes Engine
• Candidate must have experience in RDBMS (Postgres, Oracle, MySQL) database and tuning SQL queries
• A great candidate will have a broad understanding of all these technologies and in-depth knowledge of some
• Must have had experience in building and deploying CI/CD pipelines for application life cycle management
• Visualization tools like Tableau, Power BI, etc.
• Working Knowledge of SAP applications SAP BW, FI, SD, MM
• Strong oral & written communication skills
• Ability to identify, analyze, and resolve problems logically
• Ability to troubleshoot and identify root cause
• Should be flexible and adaptable to new technologies