11+ Oracle Data Integrator Jobs in India

Looking Data Enginner for our Own organization-

Notice Period- 15-30 days
CTC- upto 15 lpa

Preferred Technical Expertise 

1. Expertise in Python programming.
2. Proficient in Pandas/Numpy Libraries. 
3. Experience with Django framework and API Development.
4. Proficient in writing complex queries using SQL
5. Hands on experience with Apache Airflow.
6. Experience with source code versioning tools such as GIT, Bitbucket etc.

 Good to have Skills:

1. Create and maintain Optimal Data Pipeline Architecture
2. Experienced in handling large structured data.
3. Demonstrated ability in solutions covering data ingestion, data cleansing, ETL, Data mart creation and exposing data for consumers.
4. Experience with any cloud platform (GCP is a plus)
5. Experience with JQuery, HTML, Javascript, CSS is a plus.

• Required Skill - Operating systems & Tools (SUSE Linux 1 IBM AIX 1 IBM Spectrum i.e. IBM Tivoli)
  • Should be experienced in administration of SUSE Linux, IBM AIX operating systems Have hands-on experience in managing & troubleshooting IBM Tivoli (Spectrum Protect) backup utility with SAP HANA & Sybase DB environment.
  • Monitor status of BACKUPs, perform need based restore when require.
  • Report & coordinate with team lead for incident management process. Take corrective actions for incidents related to OS & backup related issues.
• Desirable Skills - SAP NetWeaver BASIS Administration
• SAP user management for ABAP & Java stacks, Business Objects, Central User Management, etc.
• Maintain Roles and Authorization using PFCG
• SAP Transport Management using ST MS and ChaRMs
• Knowhow of using SAP Solution Manager for MoPZ, ITSM, CHARMS, CUA, EWA, System Monitoring and Technical Administration
• BASIS administration (monitoring & maintenance) of SAP systems at Primary & DR-sitesMonitor & Troubleshoot the performance of SAP systems, Troubleshoot issues and follow-up with End Users and Development team to resolve the issues.
• Data Volume Management activities like index quality analysis and rebuilding.
• Monitoring & control database growth and perform DBA operations as required. Monitor status of database archive logs for smooth operation of SAP systems.

Desirable Skills - Database Administration (HANA I Sybase I Oracle) Manage and maintain database for SAP and Non-SAP applications/systems Monitor, administer the database and troubleshoot database related issues.

We are an early stage start-up, building new fintech products for small businesses. Founders are IIT-IIM alumni, with prior experience across management consulting, venture capital and fintech startups. We are driven by the vision to empower small business owners with technology and dramatically improve their access to financial services. To start with, we are building a simple, yet powerful solution to address a deep pain point for these owners: cash flow management. Over time, we will also add digital banking and 1-click financing to our suite of offerings.

We have developed an MVP which is being tested in the market. We have closed our seed funding from marquee global investors and are now actively building a world class tech team. We are a young, passionate team with a strong grip on this space and are looking to on-board enthusiastic, entrepreneurial individuals to partner with us in this exciting journey. We offer a high degree of autonomy, a collaborative fast-paced work environment and most importantly, a chance to create unparalleled impact using technology.

Reach out if you want to get in on the ground floor of something which can turbocharge SME banking in India!

Technology stack at Velocity comprises a wide variety of cutting edge technologies like, NodeJS, Ruby on Rails, Reactive Programming,, Kubernetes, AWS, NodeJS, Python, ReactJS, Redux (Saga) Redis, Lambda etc. 

Key Responsibilities

• Responsible for building data and analytical engineering pipelines with standard ELT patterns, implementing data compaction pipelines, data modelling and overseeing overall data quality

• Work with the Office of the CTO as an active member of our architecture guild

• Writing pipelines to consume the data from multiple sources

• Writing a data transformation layer using DBT to transform millions of data into data warehouses.

• Implement Data warehouse entities with common re-usable data model designs with automation and data quality capabilities

• Identify downstream implications of data loads/migration (e.g., data quality, regulatory)

What To Bring

• 5+ years of software development experience, a startup experience is a plus.

• Past experience of working with Airflow and DBT is preferred

• 5+ years of experience working in any backend programming language. 

• Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL

• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development)

• Experienced with the formulation of ideas; building proof-of-concept (POC) and converting them to production-ready projects

• Experience building and deploying applications on on-premise and AWS or Google Cloud cloud-based infrastructure

• Basic understanding of Kubernetes & docker is a must.

• Experience in data processing (ETL, ELT) and/or cloud-based platforms

• Working proficiency and communication skills in verbal and written English.

• Experience implementing large-scale ETL processes using Informatica PowerCenter.
• Design high-level ETL process and data flow from the source system to target databases.
• Strong experience with Oracle databases and strong SQL.
• Develop & unit test Informatica ETL processes for optimal performance utilizing best practices.
• Performance tune Informatica ETL mappings and report queries.
• Develop database objects like Stored Procedures, Functions, Packages, and Triggers using SQL and PL/SQL.
• Hands-on Experience in Unix.
• Experience in Informatica Cloud (IICS).
• Work with appropriate leads and review high-level ETL design, source to target data mapping document, and be the point of contact for any ETL-related questions.
• Good understanding of project life cycle, especially tasks within the ETL phase.
• Ability to work independently and multi-task to meet critical deadlines in a rapidly changing environment.
• Excellent communication and presentation skills.
• Effectively worked on the Onsite and Offshore work model.

• Excellent working knowledge on Data Warehousing /Data Migration activity using an ETL tool.
• Strong Data Integration, PostgreSQL/Oracle Database skills, Shell Scripting, Python programming, and development know-how.
• Hands-on experience in working with and generating XML documents.
• Good analytical and business process understanding capability.
• Familiarized with Data Models, Source-Target Data Mapping, Transactional, and Master Data concepts.
• Well-experienced in High level/Detailed design, Performance tuning of ETL jobs.
• Very good communication skills, interpersonal skills, stakeholder management skills, self-motivated, quick learner, team player.
• Exposure to After Sales Business Domain is highly preferred.
• Experience using HP ALM, Jira for ticketing.
• Experience release management

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.