Software Manager – Development | Software Developer Jobs for Freshers | Software Developer Jobs in Noida for Fresher

By | July 6, 2022
Software Engineering - Core Java | Core Java Jobs for Freshers | Recruitment Software Engineer

Job Title: Lead Software Engineer Job

Pay Package/Salary: 20,000 to 50000

Work Exp: 0-4 years

Organization Name: SAS

Job Location: Pune, Maharashtra

Qualification Required: 10th, 12th, Graduation or Any

Language: English/Hindi

Job info:

• Lead a team of data engineers and guide them with the best data strategies in line with data needs
• Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications
• Continuously look for data optimization processes and oversee data management, governance, security, and analysis
• Hire the best talents, identify the potential of each team member and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions
• Manage data delivery through high-performing dashboards, visualizations, and reports
• Ensure data quality and security across every product vertical and related areas
• Design, create and launch new data models and pipelines as per needs
• Act as a project manager for data projects, mentor and grow the team by hiring skilled data engineers
• Work towards achieving high performance, operational excellence, accuracy, and reliability of the overall system
• Mentor and grow data warehouse, data modeling, and data visualization team to correctly establish a data-driven culture
• Utilize tools and technologies to create data architecture that supports new data initiatives and is useful in next-gen products
• Ensure test-driven products/pipelines that are easily maintainable and reusable
• Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources
• Overall build and maintain data foundations that include tools, infrastructure, and pipelines that help the marketing and sales team
• Increase automation and build analytic solutions at scale to serve the business requirements

Here are some skills that are required to become a data engineering manager.

Data Engineer Manager Skills: What Are The Required Skills?
• Minimum 5+ years of experience in managing, designing, and maintaining large scale data solutions
• Strong project management skills and team management experience with managerial abilities to handle a team of data enthusiasts
• Equivalent degree in Computer Science, Math, Statistics, Information Systems, Informatics, Analytics, or another quantitative field
• Experience managing engineers and guiding them through project planning, design, development, quality control, and deployment
• Sound knowledge of building data pipelines, datasets, and data architecture from raw and unstructured data
• Hands-on experience analyzing, architecting/re-architecting data and analytics platforms on Azure/AWS/GCP
• Experience designing and implementing data ingestion solutions on Azure/AWS/GCP using different approaches
• Must have experience designing and architecting data lakes on cloud platforms and BI application integrations.
• Knowledge of data security best practices and experience building secure data solutions
• Advanced working SQL knowledge and experience working with a variety of relational databases, query languages, query authoring, and related tools
• Hands-on experience in building data pipelines, platforms, architecture, structures, visualizations, and data modeling
• Optimize data models and conduct performance engineering for large scale data
• Strong knowledge of operating large production Hadoop/NoSQL clusters on-premise or cloud
• Knowledge of data visualizations and self-service data preparation tools to maintain the flow of data for the analytics and visualization teams
• Highly proficient in SQL and knows all data warehouse, modeling, and analytics concepts
• Working knowledge of project management methodologies and the ability to guide and grow a team
• Strong problem-solving, analytical, critical thinking, and troubleshooting skills
• Working knowledge of full software development life cycle that includes planning, coding standards, testing methods, build process, and source control management
• Experience offering technical leadership and guiding teams for data engineering best practices
• Experience working in a large-scale, high-scale data warehouse environment with ETL tools and processes
• Strong knowledge of AWS tools and technologies
• Experience building data products incrementally and managing various integrations and resources
• Industry expertise in data modeling, data mining, and big data processing at scale

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