Data Architect
- Naukri
- 12 - 18 years
- Hyderabad
- 1 month ago
- Email to a friend
- Report this job
Job Description
Job Title: Data Architect
Work Location: Hyderabad (Opp. IKEA)
Job Type: Full-Time/Permanent
Work Mode: Hybrid
Job Description:
ROLES AND RESPONSIBILITIES:
Develop and implement a comprehensive Data engineering solutions/accelerators and Data Architecture solutions align with our business goals and objectives.
Architect, create, maintain, manage, and optimize data pipelines as workloads move from development to production for specific use cases.
Lead the design, development, and deployment of Data solutions
Collaborate with stakeholders to identify data requirements and develop data models and data flow diagrams
Understanding of analytics and machine learning concepts and tools.
Build and manage a high-performing team of Data engineers and provide guidance and mentorship to the Data team
Stay updated on the latest trends and developments in the Data domain
Responsible for using innovative and modern tools, techniques and architectures to partially or completely automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity.
Assist with renovating the data management infrastructure to drive automation in data integration and management.
Develop algorithms and predictive models to solve critical business problems.
Develop tools and libraries that will help analytics team members more efficiently interface with huge amounts of data.
Analyze large, noisy datasets and identify meaningful patterns that provide actionable results.
Develop and automate new enhanced imputation algorithms.
Work with data lakes and databases including any aspect of administration or support required to maintain them
TECHNICAL COMPETENCIES (Knowledge, Skills & Abilities)
Excellent at solving analytical problems using quantitative approaches.
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Must have experience at least two to three end to end implementation of Snowflake cloud data warehouse
Strong programming background, Strong coding skills in the following: Python, Pyspark,Databricks and SQL
Strong knowledge of DevOps workflow, cloud-native platforms (containers, Kubernetes, serverless, etc.) and tools (such as Git).
Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
Experience with data security and data access controls and design
Strong ability to collaborate with a variety of roles and harmonize the relationship between business and IT.
Strong passion for empirical research and for answering hard questions with data.
Flexible analytic approach that allows for results at varying levels of precision.
Experience in building solutions with Data solutions in Manufacturing, Retail and Supply chain Operations
Proficient in data integration techniques to combine data from various sources into a centralized location
Work with cross-functional teams to ensure that data is integrated, transformed, and loaded effectively across different platforms and systems
Data Science, Analytics and Machine Learning specializing in implementing Machine learning models is an added advantage
EDUCATION AND EXPERIENCE
Bachelors degree in computer science, mathematics, or statistics
12+ Years of of Data and Analytics experience with minimum 5+ years in Snowflake Cloud Data warehousing.
10+ years of experience in the IT with strong focus on Data engineering,Data Architecture
5+ years of relevant experience in successfully launching, planning, and executing Advanced Analytics projects.
5+ years of experience in managing or leading data engineering teams
5+ years of hands-on experience building Cloud Data centric solutions preferably on Azure cloud platform or any other Hyper-scalers.
Strong programming skills in SQL, Python, and Python-based data manipulation and visualization libraries.
Familiarity with big data frameworks, such as Spark, and ML libraries
Extensive experience in Snowflake - Virtual warehouse (Compute), Data modeling & storage, data loading/unloading and data sharing, SnowSQL (CLI) as well as Snowflake Internals and integrations, SnowPipe implementation, Snowflake security including readers and consumers accounts.
Advance SQL knowledge and hands on experience on complex queries writing using with Analytical functions, Troubleshooting, problem solving and performance tuning of SQL queries accessing data warehouse as well as Strong knowledge on stored procedures
Design and build production data pipelines from ingestion to consumption with Python, Pyspark or Scala.
Good knowledge on orchestration/scheduler tools, like Airflow
Strong understanding of cloud architecture and environment
Familiar with common techniques and general ML programming to ensure quality of algorithms before pushing them to production
Experience with BI and Reporting Tools
Experience with Data Integration tools like Spark/Databricks
Experience in Linux/Unix shell scripting
Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design
Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies.
Experienced in internal as well as external stakeholder management
Understanding of cloud data migration processes and ability to design alternatives for data ingestion from variety of sources into various databases
Build robust and scalable data integration (ETL) pipelines
Build and deliver high quality datasets to support business analyst and customer reporting needs
Interface with business customers, gathering requirements and delivering end to end solutions
Problem-solving, communication, and collaboration skills.
Excellent data analytical and communication skills.
Ability to work in a fast-paced, high-pressure, agile environment.
Strong interpersonal, communication, and presentation skills.
Ability to learn and teach new languages and frameworks
PHYSICAL REQUIREMENTS / WORK ENVIRONMENT (if applicable)
Work is performed in a designated professional office workstation and environment.
Extensive use of office equipment to include computer, calculator, copier, fax, and other business related machines and software. 80% Hands on role on the developments in Python, Snowflake and Solution design and 20% mentoring the team
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: BI ArchitectEmployement Type: Full timeContact Details:
Company: NaukriLocation(s): Hyderabad
Keyskills: Snowflake Python SQL DESIGNING Data Architecture Solutioning
Similar positions
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in