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Job Description

Experience (Total & Relevant):  5-7 years


Education Qualifications: Any Graduate or Post Graduate


Languages: English


Technical Requirement:


Function: Software Engineering


Requirements:


Primary Skills / Must have


3-6 years of experience with the technical analysis and design, development and implementation of data warehousing / Data Lake solutions;


Well versed and Hand-on in Hadoop, Hive Query language (HQL), Python, TeraData, and SQL


Hadoop, HQL, Python,Teradata, SQL, PL/SQL and unix shell scripting
Strong UNIX Shell scripting experience to support data warehousing solutions;
Process oriented, focused on standardization, streamlining, and implementation of best practices delivery approach;
Excellent problem solving and analytical skills;
Excellent verbal and written communication skills;
Experience in optimizing large data loads;
 
Secondary Skills / Desired skills


Should be a good Team player;                                                                                                               Experience in OLAP/Relational databases would be good.
Exposure to an Agile Development environment would be a plus.
Knowledge about TWS Scheduler would an added advantage;
Strong understanding of Data warehousing domain;
Ability to architect an ETL solution and data conversion strategy;
Good understanding of dimensional modelling;


 Roles and Responsibilities


As an ETL / Hadoop developer, the candidate is expected to
Design and development of ETL and Hadoop applications.
Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations.
Development of new transformation processes to load data from source to target, or performance tuning of existing ETL code (mappings, sessions) and Hadoop Platform.
Analysis of existing designs and interfaces and applying design modifications or enhancements
Coding and documenting data processing scripts and stored procedures.
Providing business insights and analysis findings for ad-hoc data requests
Testing software components and complete solutions (including debugging and troubleshooting) and preparing migration documentation.
Providing reporting-line transparency through periodic updates on project or task status
.


S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 


Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.



All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.


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