Data Engineer

About the job

Accelerate your career with PradeepIT

PradeepIT is one of the largest, globally recognized IT Consulting firm to connect India's deeply vetted talent team to global customer.

Were headquartered in Bengaluru, Silicon Valley of India. PradeepITs customers include SAP Lab, Bosch, Rolls-Royce, Daikin, Daimler and J&J and hundreds of other Fortune 500 companies and fast-growing startups.

With continuous hard work and working remotely by choice, PradeepIT is certified as a Great Place to Work! Trusted by leading brands and fortune 500 companies from around the world, we have achieved:

6+ Years of Experience

580+ Open source technology Consultant

120+ SAP Consultant

40+ Salesforce Consultant

60+ Adobe Consultant

100+ Mobility Consultant

890+ Clients in APAC, EMEA & USA

Our Beliefs

PradeepIT believes in connecting people across the globe and provide them an opportunity work on remotely. Being a people-first organization, PradeepIT constantly strives for individuals who won't just keep up, but break new ground, work with cutting edge technology and ramp-up their skills with course created by our Vertical Heads, Senior Architect for freely with help of PradeepIT Academy.

Responsibilities

• Analyzing raw data.
• Improving data quality and efficiency.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results to get business insights.
• Combine raw information from different sources.
• Explore ways to enhance data quality and reliability.
• Maintain, contribute, and adhere to programming best practices and guidelines to ensure a high standard of quality for all of the team deliverables.
• Building reusable code and libraries for future use.
• Build systems that are scalable, fault-tolerant, and easy to manage/use.

Requirements

• 2 years of experience as a Data Engineer or in a similar role.
• Experience with SQL, data warehousing, and building ETL pipelines.
• Excellent command over Data Structures and Algorithms.
• Knowledge of data management fundamentals and data storage principles.
• Strong Computer Science and development fundamentals, including object-oriented design, data structures, algorithm design, and complexity analysis.
• Experience in extracting common code into gems/libraries.
• Knowledge of distributed systems as it pertains to data storage and computing.
• Adept at handling ambiguous or undefined problems as well as the ability to think abstractly.
• Experience using business intelligence reporting tools.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
• Comfort in communicating with users, other technical teams, and senior management to collect requirements and data engineering strategy.
• Experience providing technical leadership and mentoring other engineers for best practices in data engineering.