Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...
... systems, and optimizing the data delivery architecture. Responsible to design, build, refactor, and maintain data pipelines using Microsoft Azure, SQL, Azure Data Factory, Azure Synapse, Databricks, Python, and PySpark to meet business requirements for reporting, analysis, and data science Responsible to teach, adhere to, ...
... continuous career progression, and opportunities to lead high-impact global projects. - Degree in Engineering, Computer Science, Information Technology, Data Science, or a related discipline. Formal training or certification in Data provisioning will be preferred. Experience: · 5+ years of rich experience with Data provisioning ...
... related duties as assigned. Minimal travel may be required (up to 25%) Qualifications • BA/BS in the biological sciences or related disciplines in the natural science/health care field or Registered Nurse. In lieu of degree, equivalent relevant work experience. • Clinical data management experience or an equivalent combination ...
... Experience implementing large-scale distributed systems in collaboration with more senior team members Knowledge and hands-on experience in technologies across all data lifecycle stages BS degree in computer science or related field or equivalent knowledge and experience No prior experience in the energy industry required Our ...
... business-focused data solutions.- Mentor junior engineers and promote data engineering best https://jobeax.com/link/E00qLmZDpXHJjFEm Qualifications : - 5+ years of Azure Data Engineering experience.- Experience with large-scale distributed data processing systems.- Databricks and/or Azure Data Engineering certifications preferred.- ...
... in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description: Experience in design and implementation of data pipelines using DataStage with strong SQL and decent Unix knowledge. Your future duties and responsibilities Should able to - create, review and understand technical ...
Data Entry Executive Start Date Starts Immediately CTC (ANNUAL) ₹ 2,00,000 ₹ 2,00,000 /year Experience No experience required No experience required Apply By 1 Oct' 26 Posted 3 weeks ago Fresher Job Be an early applicant About the job Key responsibilities: 1. Enter and update data accurately in company systems. 2. Maintain ...
... https://jobeax.com/link/X80RNCFlYo0KB0xG customer and account data from source documents within time limits 2. Compiling, verifying accuracy, and sorting information to prepare source data for computer entry 3. Reviewing data for deficiencies or errors, correcting any incompatibilities, and checking output Skill(s) required Computer skills MS-Excel ...
Data Entry Executive Start Date Starts Immediately CTC (ANNUAL) ₹ 2,10,000 - 2,40,000 ₹ 2,10,000 - 2,40,000 /year Experience No experience required No experience required Apply By 1 Oct' 26 Posted 3 weeks ago Fresher Job 199 applicants About the job Key responsibilities: 1. Perform data entry in the system and maintain ...
... SLAs for critical datasets, along with the on-call and incident response process that protects them. - Establish clear ownership and data contracts between the Data Products team, upstream service teams, and downstream consumers. Data Modeling & Engineering Standards - Set and enforce standards for data modeling, including ...
Industrial Data & Listings Executive Start Date Starts Immediately CTC (ANNUAL) ₹ 3,00,000 - 4,00,000 ₹ 3,00,000 - 4,00,000 /year Experience 1 year(s) 1 year(s) Apply By 23 Oct' 26 Posted 7 days ago Job Be an early applicant About the job Key Responsibilities: 1. Build & manage industrial property data across land, plots, ...
... success. Migrate and transform client corporate governance data and documents into Diligent platforms, ensuring accuracy, consistency, and completeness. Run regular data quality checks, validate data against source records, and quickly correct errors to maintain high data integrity. Use advanced Excel functions, databases, and ...
... behavior. Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks. Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows. Validate data quality, consistency, and correctness across datasets and experiments. Create clear, well-documented ...
... collaborative mindset with the ability to thrive in a hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering ...
... analyzing and interpreting complex data sets to drive business decisions and strategies. We are looking for a skilled professional who is proficient in Python, SQL, Data Analytics, MS-Excel, Data Science, Power BI, and Tableau. If you are passionate about leveraging data to make informed decisions and drive business growth, then ...
... Inputting data accurately and efficiently into our systems 2. Maintaining and updating databases with the latest information 3. Generating reports and analyzing data using MS-Excel 4. Ensuring data integrity and quality control measures are followed 5. Collaborating with team members to optimize data management processes 6. ...
... Bachelor's degree in computer science or a related field with 5+ years of experience in ETL development or similar roles. Proven expertise in managing large data volumes and working with diverse data sources. Strong analytical skills with a track record of success in enterprise applications or integration projects. Hands-on ...
... mapping, and change detection. - Ensure annotation accuracy, consistency, and adherence to defined quality standards (QA/QC frameworks) across all delivered datasets. - Define and continuously improve annotation guidelines, taxonomies, and labeling protocols in collaboration with Data Science and ML teams. - Stay current ...