7 Etl Workflow Jobs

Job Title: Senior Data Engineer, Microsoft Fabric + SSIS Specialist Location: Noida, Sector 62 ( Onsite/Hybrid, Full-Time, Long-Term Proje ct) Experience Required: 7 + Years Availability: Immediate Joiners Only Role Overview: We are looking for a highly skilled Senior Data Engineer 7+ years of experience as a Microsoft Fabric Specialist to lead the design, development, and optimization of modern data solutions. The role involves working extensively with Azure Fabric, ADF, Databricks, SSIS, Power BI, and PySpark to build scalable, high-performance data pipelines and analytics systems. Key Responsibilities: Lead the design, development, and implementation of Fabric Pipelines, SSIS Packages, Da...

Immediate opening for " ETL Developer" with a Big4 Firm: Location: Hyderabad / Bangalore Experience Required: 3-9 years Technical Qualifications (ETL Developers): Strong SQL skills across any database platform. Solid experience building ETL workflows in Informatica IICS. Redshift experience is a nice-to-have, not mandatory. Interested can share their updated resume to anitha.mudaliyar@quantaleap.com

About the Team/Role As a Data Engineer at WEX, youll be responsible for building and maintaining the bridge between our data and the rest of the organization. Youll work with stakeholders to understand business requirements and then implement SQL-first transformation workflows to deploy analytics code. You’ll help ensure the integrity, reliability, and usability of data for stakeholders, so they can make critical data-driven decisions. How you’ll make an impact A highly motivated individual who loves working as part of a high performing team. You are constantly learning and upskilling. You are a critical thinker with strong analytical and problem-solving abilities. You are self-motivated and...

We are looking for a Python Developer with working knowledge of ETL workflow. Experience in data extraction using APIs and writing queries in PostgreSQL is mandatory. As a Python Developer, you will need to have good experience in Python programming and problem-solving. You should also be proficient in data structures and implementation, as well as in relational databases and SQL. A degree in Computer Science is required for this position. Additionally, strong communication, prioritization, and organization skills are essential. You should also have a keen interest in learning and upskilling. Your responsibilities will include Python programming, problem-solving, data structure implementatio...

Job description We are looking for an experienced Ab Initio Lead Engineer to lead the design, development, and implementation of data integration and ETL solutions using the Ab Initio platform. As a lead Engineer . Development Implementation: Design and develop robust, scalable ETL workflows and data integration solutions using Ab Initio tools such as GDE, Conductand Express Create reusable frameworks for data processing and transformations. Optimize ETL processes to ensure high performance and scalability. Technical Leadership: Lead a team of Engineers, providing technical guidance and ensuring adherence to coding and design standards. Review code, troubleshoot issues, and ensure the qualit...

We are looking for a Python Developer with working knowledge of ETL workflow and experience in data extraction using APIs and writing queries in PostgreSQL. The ideal candidate must have good experience in Python programming and problem-solving, be proficient in data structures and implementation, and possess knowledge of relational databases and SQL. A degree in Computer Science is required for this role. Additionally, strong communication, prioritization, and organizational skills are essential, along with a willingness to learn and upskill. As a Python Developer, your responsibilities will include Python programming, problem-solving, data structure implementation, database management, req...

Role & responsibilities * Design, Build, and Maintain ETL Pipelines: Develop robust, scalable, and efficient ETL workflows to ingest, transform, and load data into distributed data products within the Data Mesh architecture. * Data Transformation with dbt: Use dbt to build modular, reusable transformation workflows that align with the principles of Data Products. * Cloud Expertise: Leverage Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, Pub/Sub, and Dataflow to implement highly scalable data solutions. * Data Quality & Governance: Enforce strict data quality standards by implementing validation checks, anomaly detection mechanisms, and monitoring frameworks. * Performa...