Job Location: Hyderabad/Secunderabad
Our Company: Unify Technologies
Company Nature of work: IT-Software Product Development and Product Engineering Services
Founded Year: 2015
Company Locations: USA, Hyderabad, Bangalore, Pune, Chandigarh, Gurgaon
Num of total Employees: 1,500+
Company Website: http://unifytech.com/
Company LinkedIn Website Address: https://www.linkedin.com/company/9206998
Few words about Unify Technologies: Unify is a Digital Engineering company. We help our clients by providing Digital Engineering Services to develop high-quality products. We have extensive experience in software product engineering and a successful track record of delivering on aggressive delivery plans without compromising on the quality in Cloud, Mobile, and Data practices.
Employment Type: Full-Time
Role: Cloud Data Engineer
Position: Senior, and Lead – Cloud Data Engineer
Experience: 4-8 Years – Sr Cloud Data Engineer; 8-10 Years – Lead Cloud Data Engineer;
Job Location: Hyderabad – India (WFH till COVID unlock)
Education: Masters/Bachelors degree in Computer Science, Statistics, Engineering or a related technical discipline will be preferred
Joining time: Immediate to 30 days
Detailed Job Description:
Key Skills: Strong Experience in AWS, Amazon Redshift, Athena, Glue, Big Data and data warehousing (Power BI – QuickSight, Tableau) technologies
Skills Required:
- Bachelors Degree in Computer Science/Engineering, Informatics, Mathematics, or a related technical discipline.
- 5+ years of industry experience in Data Engineering, Data Science, Business intelligence or related fields.
- Experience architecting data solutions with AWS products including Big Data Technologies (Redshift, RDS, S3, Glue, Athena, EMR, Spark, Hive, etc.) and/or Microsoft Database Software Stack (SQL Server/SSIS/SSAS)
- Strong knowledge of data management fundamentals and data storage principles.
- Experience using business intelligence reporting tools (AWS QuickSight, Power BI, Tableau, etc.)
- Demonstrated strength in data modeling, ETL development, and data warehousing/lakes.
- Experience building data products incrementally, integrating and managing large data sets from multiple sources.
- 2+ years of coding experience with modern programming or scripting languages (Python, Scala, Java, etc.).
- Knowledge of systems engineering to optimize integration of data service/software solutions with data infrastructure.
- Experience providing technical leadership and mentoring other engineers for the best practices on data engineering.
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Responsibilities:
- As a Data Engineer, you will need to review technical design, develop and enhance data systems and pipelines supporting process optimization in reporting, planning, and control activities, as well as integrate in-house data infrastructure with partner systems.
- You should be an expert in the architecture of data warehousing solutions, using multiple platforms and tools.
- In addition, you should have strong analytical skills and excel in the design, creation, management, and business use of large data sets, combining raw information from different sources.
- Similarly, you will be responsible for designing and implementing scalable extract, transform, and load (ETL) processes to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as a service, which will have an immediate influence on day-to-day business decision making.
- Should have very good communication skills and ability to adjust communication to different groups of stakeholders, collaborating with architects, BI engineers, data scientists, business analysts/managers, to evaluate business needs and objectives in order to set up the best data management environment.
Contact: tulasim@unifytech.com
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