What are the responsibilities and job description for the Senior Data Engineer position at HCL Global Systems?
Assembling large to complex sets of data that meet non-functional and functional business requirements
Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using GCP / Azure and SQL technologies
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
Strong background in data warehouse design
Overseeing the integration of new technologies and initiatives into data standards and structures
Strong Knowledge in Scala, Spark, PySpark, Python, SQL
Experience in Cloud platform(GCP / Azure) data migration - Source / Sink mapping, Build pipelines, work flow implementation, ETL and data validation processing
Strong verbal and written communication skills to effectively share findings with shareholders
Experience in Data Analytics, optimization, machine learning techniques is added advantage
Understanding of web-based application development tech stacks like Java, Reactjs, NodeJs is a plus
Key Responsibilities
20% Requirements and design
60% coding & testing and 10% review coding done by developers, analyze and help to solve problems
10% deployments and release planning
You bring :
Bachelor's degree in Computer Science, Computer Engineering or a software related discipline. A Master's degree in a related field is an added plus
6 years of experience in Data Warehouse and Hadoop / Big Data
3 years of experience in strategic data planning, standards, procedures, and governance
4 years of hands-on experience in Scala
4 years of experience in writing and tuning SQLs, Spark queries
3 years of experience working as a member of an Agile team
Experience with Kubernetes and containers is a plus
Experience in understanding and managing Hadoop Log Files.
Experience in understanding Hadoop multiple data processing engines such as interactive SQL, real time streaming, data science and batch processing to handle data stored in a single platform in Yarn.
Experience in Data Analysis, Data Cleaning (Scrubbing), Data Validation and Verification, Data Conversion, Data Migrations and Data Mining.
Experience in all the phases of Data warehouse life cycle involving Requirement Analysis, Design, Coding, Testing, and Deployment., ETL Flow
Experience in architecting, designing, installation, configuration and management of Apache Hadoop Clusters
Experience in analyzing data in HDFS through Map Reduce, Hive and Pig is a plus
Experience building and optimizing 'big data' data pipelines, architectures and data sets.
Strong analytic skills related to working with unstructured datasets
Experience in Migrating Big Data Workloads
Experience with data pipeline and workflow management tools : Airflow
Cloud Administration
For this role, we value :
The ability to adapt quickly to a fast-paced environment
Excellent written and oral communication skills
critical thinker that challenges assumptions and seeks new ideas
Proactive sharing of accomplishments, knowledge, lessons, and updates across the organization
Experience designing, building, testing and releasing software solutions in a complex, large organization
Demonstrated functional and technical leadership
Demonstrated analytical and problem-solving skills (ability to identify, formulate, and solve engineering problems)
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