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Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 18th Jul 2025
• 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 Spark, PySpark, SQL, PL/SQL (Procedures, Function, Triggers, Packages and fixing the problems.)
• 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 or Python is added advantage
• Good understanding of web-based application development tech stacks like Java, AngularJs, NodeJs is a plus·
Key Responsibilities
• 20% Requirements and design
• 60% coding & testing and 10% review coding done by developers, analyse and help to solve problems
• 5% deployments and release planning
• 5% customer relations
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 Python or 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
• 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
• Experience with scripting languages: Python, Scala, etc.
• Cloud Administration
For this role, we value:
• The ability to adapt quickly to a fast-paced environment
• Excellent written and oral communication skills
• A 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)