Data Engineer (AWS, SQL) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Data Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. We run on AWS and make extensive use of Scala Spark, dbt, and Terraform. Build and expose the data lake/lakehouse so teams can understand business and product performance and make better decisions. Design and evolve a data platform that enables scientists and analysts to query, model, and ship features and product metrics. Maintain and fix existing ETLs, improving reliability, observability, and cost while planning safe backfills and replays. Model curated layers and maintain transformation logic (e.g., dbt), including testing, documentation, and data quality. Terraform) and contribute to CI/CD and deployment practices. Partner with Engineering, and Data Science to deliver low-latency signals and features for real-time decisioning. Solid engineering foundation with 5+ years of relevant experience in data engineering and/or distributed systems. Hands-on work building data pipelines (batch and/or streaming) using at least one distributed framework (e.g., Comfortable with SQL and a transformation framework (e.g., Familiarity with AWS services for data (any mix of S3, EMR/Glue, Kinesis/MSK, Lambda, Redshift/Athena) or equivalent cloud experience. Experience using Terraform (or similar IaC) to manage data/platform resources. We believe this must change—and that digital identity should be trustworthy, private, and accessible to everyone. At VIDA, we're creating a frictionless digital identity system that meets the needs of our time and works anywhere, for everyone. Global initiatives like the UN and World Bank's ID4D aim to provide legal identity for all by 2030. We expect digital identity to become a basic right, and we want VIDA to help lead that future. We're a mission-driven, pragmatic team motivated by real-world impact—from preventing fraud and corruption to unlocking fair access to essential services. Phone Social Network and Web Links
... 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted environments and cloud platforms such as AWS, Azure, or similar (preferred). - Ability to work ...
... and detail-oriented Associate Data Engineer to join our growing data team. If you are a recent graduate passionate about data and eager to build a career in data engineering, this is the perfect opportunity for you! In this role, you will work closely with senior engineers to build, maintain, and optimize data pipelines. ...
... managing this platform, utilizing leading technologies like Databricks, Delta Lake, Spark, PySpark, Scala, and the AWS suite. We are actively seeking skilled Data Engineers to join our team and contribute to scaling our platform across the organization. Create and manage robust data ingestion pipelines leveraging Databricks, ...
... AWS Glue, Lambda, and DBT. Work with PySpark and SQL to transform and cleanse data. Configure and manage Airflow workflows and Amazon EMR clusters. Integrate data services with API Gateway and REST/Soap APIs. Required qualifications - 3 to 5 years of experience in data engineering. - Proficient in AWS S3, Glue, Lambda, ...
... teams including data analysts and engineers. Write reusable, efficient, and well-documented code. Integrate APIs and third-party services. Troubleshoot and debug data-related issues. Required Skills Strong proficiency in Python. Experience with data libraries like Pandas, NumPy. Hands-on experience with SQL and relational databases. ...
... data quality, reliability, and performance across data systems Required Skills: - Scala (must-have), python - Apache Spark - Strong coding fundamentals and engineering principles - Azure or on-premises Hadoop ecosystem experience - 5+ years of experience in Data Engineering - Python * SQL * AWS / Azure / GCP Preferred (Bonus) ...
... and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management ...
... Posted 2 weeks ago Job Be an early applicant About the job Job Purpose: Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing ...
... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.
... governance. Experience : Minimum 6 years of hands-on experience in data engineering, with a proven track record in complex pipeline development and cloud-based data migration projects. Bachelor’s or higher degree in Computer Science, Data Engineering, or a related field. Skills : Proficiency in Spark, SQL, Python, and other ...
... experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, ...
... architects, analysts, developers, and business stakeholders to understand data requirements.- Ensure data quality, security, governance, and best practices across data engineering https://jobeax.com/link/Gpaa4oyRTNYXQU0V Stack:- Python, PySpark, SQL, AWS Glue, AWS Glue Data Catalog, AWS Lambda, Amazon S3, AWS Step Functions, ...
... BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming experience in Spark/Scala (python/java) Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration) ...
Hello, We are hiring for 'Data Engineer with Java' for Pune Location. Exp :5+Years Loc : Pune Notice Period: Immediate joiners(notice period served or serving candidate) Mandatory Skills: Data Engineering Airflow Data Build Tool(DBT) Java ETL/ELT Pipeline CI/CD SQL NOTE: We are looking for Immediate joiners(notice period ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
Job Summary :The Data Integration Engineer will design, develop, and support data integration solutions that extract financial and operational data from enterprise source systems and deliver trusted data to analytics platforms and external vendors. The role emphasizes source-to-target mapping, transformation, validation, ...
... experience in Data Engineering.- Strong Python + SQL expertise.- Strong Data Architecture and System Design skills.- End-to-end production pipeline ownership.- Expert SQL including Window Functions, CTEs, CASE logic.- Strong experience with MySQL / PostgreSQL.- Experience designing Transaction / Fact Tables.- Strong data quality, ...
... operations at ELGi. Data Engineering & Architecture Design scalable, production-grade ETL/ELT pipelines across Azure, AWS, and GCP. Develop modular, reusable data engineering frameworks for ingestion, transformation, and orchestration. Build Spark, SQL, and Python workflows in Databricks. Optimize compute, storage, and ...