Manager - Data Engineer, LDT
- Genpact India
- 7 to 13 Yrs
- Hyderabad
- 4 years ago
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Job Description
With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world s biggest brands and we have fun doing it. Now, we re calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it. Come, transform with us.
Transformation Happens here, come be part of our exciting journey
Are you looking for
Inviting applications for the role of Manager- Data Engineer, LDT
We re looking for a savvy Data Engineer to join our growing team of data science experts and be a part of one-of-a-kind Data Program of the industry. Looking for an individual who enjoys creating and implementing Analytics projects like data lake design, data warehouse design, etc. Experienced Data Wrangler and a Data Pipeline builder who enjoys optimizing data systems and is passionate about building them from grounds up.
Responsibilities
- Provide technical support for the Data Science team and be involved in creating and implementing current and future Analytics projects like data lake design, data warehouse design, etc.
- Analyse and design ETL solutions to store/fetch data from multiple systems like Google Analytics, SQL/ORACLE, SAP HANA, etc.
- Develop and maintain data pipelines for real time analytics as well as batch analytics use cases.
- Collaborate with data scientists and actively work in the feature engineering and data preparation phase of model building.
- Collaborate with product development and dev ops teams in implementing the data collection and aggregation solutions.
- Ensure quality and consistency of the data in Data warehouse and implement/follow best data governance practices.
- Analyse large amounts of information to discover trends and patterns.
- Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Qualifications we seek in you
Minimum Qualification
- Bachelor s or Masters in a highly numerate discipline such as Engineering, Science and Economics
- Relevant years of proven experience working as a Data Engineer
- Experience of working with different big data tools like Hadoop, Spark, Flink, Kafka and so on - Preferred
- Good understanding of AWS ecosystem for big data analytics
- Hands-on experience in creating data pipelines either using tools or by independently writing scripts
- Hands-on experience in scripting languages like Python, Scala, Unix Shell scripting and so on
- Strong problem-solving skills with an emphasis on product development.
Preferred Qualification
- Hands-on experience in creating data pipelines either using tools or by independently writing scripts is a plus.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter , Facebook , LinkedIn , and YouTube .
Employement Category:
Employement Type: Full timeIndustry: IT - Software Role Category: General / Other SoftwareIT Operations / EDP / MIS Functional Area: Not ApplicableRole/Responsibilies: Manager - Data Engineer, LDTContact Details:
Company: Genpact IndiaLocation(s): Hyderabad
Keyskills: sql java data warehousing informatica python unix shell scripting big data sap hana data science customer focus shell scripting data collection problem solving data governance google analytics data preparation
Genpact India
Genpact (NYSE: G) is a global professional services firm focused on delivering digital transformation for our clients, putting digital and data to work to create competitive advantage. We do this by integrating lean principles, design thinking, analytics and digital technologies with our domain and ...
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