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Chandra Technologies, Inc. is seeking an Informatica ETL/Data Engineer with 8 years of experience to design, develop, and support enterprise data integration solutions. The role emphasizes PowerCenter, Snowflake, Oracle SQL, and batch scheduling.
You will collaborate with business and technical stakeholders, implement SDLC processes, and optimize data pipelines in a large enterprise environment. Local Austin area candidates only.
***Crop to Crop resumes are accepted
Position will be 2 days remote with 3 days (Mon, Wed & Fri) required to be onsite at the location listed above. Subject to change per the hiring team
Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius).
Candidates must already reside in Texas.
Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.
Informatica ETL/Data Engineer with 8 years of experience designing, developing, and supporting enterprise data integration solutions. Expertise in Informatica PowerCenter, Oracle SQL/PLSQL, ETL workflows, data ingestion from diverse source systems, and production support.
Hands-on experience with Snowflake, Informatica Power center, source-to-target mapping, data quality management, performance optimization, and batch job scheduling in large enterprise environments.
Strong analytical and communication skills with experience working in structured SDLC environments, collaborating with business and technical stakeholders to deliver scalable data engineering solutions.