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Chandra Technologies, Inc. seeks an experienced Informatica ETL/Data Engineer to design, develop, and support enterprise data integration solutions. The role focuses on ETL workflows, Snowflake, and Oracle systems within a large enterprise environment.
The position combines 2 days remote and 3 days onsite at 701 W 51st Street, Austin, TX, within a 50-mile radius. Local candidates in Texas with SDLC experience will thrive in this collaborative role.
The primary work location will be 701 W 51st Street, Austin, Texas 78751.
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.