Data Engineer, ARDE Job Vacancy in ADCI HYD 13 SEZ Hyderabad, Telangana – Updated today

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Full Details :
Company Name :
ADCI HYD 13 SEZ
Location : Hyderabad, Telangana
Position :

Job Description : 3+ years of experience as a Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
Experience in SQL
Strong understanding of ETL concepts and experience building them with large-scale, complex datasets using traditional or map reduce batch mechanism.
Strong data modelling skills with solid knowledge of various industry standards such as dimensional modelling, star schemas etc
Extremely proficient in writing performant SQL working with large data volumes
Experience designing and operating very large Data Warehouses
Experience with scripting for automation (e.g., UNIX Shell scripting, Python, Perl, Ruby).
Good to have experience working on AWS stack
Clear thinker with superb problem-solving skills to prioritize and stay focused on big needle movers
Curious, self-motivated & a self-starter with a ‘can do attitude’. Comfortable working in fast paced dynamic environment.

Job summary
Finance Automation team at Amazon is looking for Data Engineer to play a key role in building next generation Financial data warehouse to in Finance space. The ideal candidate will be passionate about building next generation extremely large, scalable and fast distributed systems on AWS stack and will want to be part of a team that has accepted the goal to democratize access to data and enabling data driven innovations for entire Finance business in Amazon. We are one of fastest growing Data Engineering team across Amazon with strong technology orientation.

Looking for a candidate with strong background in new age AWS stack (S3, EMR, Redshift) or traditional BI & DW with interest in data mining and ability to sieve emerging patterns and trends from large amount of data. Data Engineer should have strong experience with all standard data warehousing technical components (e.g. ETL, Reporting, and Data Modeling), infrastructure (e.g. hardware and software) and their integration. The ideal candidate will have extensive experience in dimensional modeling, excellent problem solving ability dealing with huge volumes of data and a short learning curve. Excellent written and verbal communication skills are required as the candidate will work very closely with diverse teams and senior leadership.

Along with complex problems to solve, we provide you world class work environment and a chance to work with few of industry most talented team members in data engineering space and opportunity to contribute and create history while having fun.

Must have excellent knowledge of Advanced SQL working with large data sets.
Must have excellent dimensional modelling skills.
Experience with AWS technologies including Redshift, RDS, S3, EMR, EML or similar solutions build around Hive/Spark etc.
Experience with reporting tools like Tableau, OBIEE or other BI packages.

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