Software Developers - Data Practice

Salary depends on experience
Posted on 04/18/18
Less than 5 years experience
Professional, Scientific & Technical Services
Salary depends on experience
Posted on 04/18/18

Responsibilities

  • Modify and manage existing Software Processes to correct errors, to adapt it to new designs, or to upgrade interfaces and improve performance.
  • Manage application projects and/or system activities along with developing test routines or procedures to Perform Testing / Quality assurance activities to ensure that the software continues to function normally through software maintenance and testing.
  • Maintain, troubleshoot, optimize and improve existing applications and systems /Provide solution designs based on strategic direction and business needs.
  • Plan, Design and implement Proof of Concepts (POC) and Proof of Technology (POT) for the new technologies to determine and recommend modifications to existing systems.
  • Produce technical documentation in accordance with SDLC guidelines, Communicate with technical and non-technical groups on a regular basis as part of product firmware releases around the POC / POT for various customer engagements.
  • Participate in Quality Assurance activities to develop test strategies and to validate test plans for Integration projects along with developing test routines and procedures to perform Testing/Quality Assurance activities to ensure that the software continues to function normally through software maintenance and testing.



Skills Required

  • Be a part of the Center of Excellence / BPIC responsible for the Business Solutions development related to Data Practice/Big Data and ETL Development and Support, Managed Services & Technical Sales Activities.
  • Create technical design documents by analyzing functional specification documents that are required for ETL development.
  • Work on ETL (Extract Transform Load) activities
  • Extracting the data from databases such as Microsoft SQL Server, Teradata and Oracle 11g/10g.
  • Perform required transformation using tools such as IBM Infosphere Datastage
  • Load the data back in Backend Systems such as SAP System tables.
  • Work on Big Data and Data Architecture such as Laying out the Data Lake strategy compatible with Apache HDFS that works with the Hadoop ecosystem.
  • Work on Business Intelligence (BI) Development using Microsoft PowerBI, SSIS, SSRS and reporting using Tableau and Cognos.
Not the right job?
Join Ladders to find it.
With a free Ladders account, you can find the best jobs for you and be found by over 20,0000 recruiters.