SAP Data Engineer
Apply now »Date: Nov 8, 2024
Location: Hyderabad, TG, IN
Company: NTT DATA Services
Req ID: 302158
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a SAP Data Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN).
Mandatory Skills/Qualifications:
- Hands-on experience working on SAP ECC 6.0 on HANA database or SAP S/4HANA.
- Prior experience working on SAP ERP Implementation or Upgrade projects.
- Must have at least 4-5 SAP project experience and must be familiar with SAP data models including DDIC tables, structures, CDS Views, etc.
- Experience working in multi-country rollouts (for ex across - LATAM, APAC, EMEA, etc.) would be highly preferable.
- Experience with Azure Data Services, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage.
- Proficient in Python and SQL.
- Familiarity with Python libraries, such as Pandas, NumPy, PyTest, and PySpark.
- Familiarity with other cloud analytics systems such as AWS, Snowflake, or Google Cloud services is a plus.
- Experience with SQL and NoSQL on various relational database platforms such as Microsoft, Oracle, Hana, Postgres, and Cassandra
- Experience with Azure SQL Data Warehouse and dimensional modeling concepts.
Daily Work Duties:
- Build a deep understanding of client needs to identify the best data solution across many industries and specific challenges
- Create, redevelop, and maintain scalable data systems and pipelines
- Identify and implement optimization opportunities, such as re-architecture and automation wherever helpful
- Perform root cause analysis on internal and external data processes to answer business questions and identify areas for improvement
- Bring together complex data sets in formats that are functional for data scientists and client goals
- Identify data source errors and issues and investigate and execute data quality enhancements
- Collaborate with data scientists, business analysts, policy analysts, and project managers to prioritize tasks, understand client pain points and challenges, and provide usable, relevant solutions
- Strong verbal and communication skills.
- Collaborative team player who is detailed oriented and focused on solution quality and execution.
- Comfortable working across a wide range of project sizes and industries.
- Function as part of a rapid response team to learn quickly and respond to ad hoc needs.
- Provide consistency in data architecture across projects at the same client.
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About NTT DATA
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
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