Senior Data Operations Engineer - Data Pipeline Support in Mumbai, India

$11 USD

... reliable datasets. Support both traditional analytical queries (BI dashboards in Grafana, Looker, or Kibana) and downstream machine learning and automated agentic pipelines. Data Quality, Reliability & Observability Implement strict data validation, monitoring, and proactive alerting frameworks to ensure absolute consistency and ...

... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...

Consultant Data Engineer Databricks | Azure | PySpark | Spark SQL - Bengaluru / Hyderabad / GurugramLooking for an experienced Data Engineer with strong expertise in Azure Databricks, PySpark, Spark SQL, Azure Data Factory (ADF), ADLS, ETL, and SQL. You will design scalable data pipelines, build modern Lakehouse solutions, ...

... Join us! We are looking for a Data Engineer to join our team and contribute to building and maintaining applications that power the Dun & Bradstreet Contact Pipeline. This role involves working closely with senior data engineers to optimize data ingestion processes, analyze performance bottlenecks, and implement improvements. ...

• Hybrid
• On-site

700k

... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...

• Full-time

... 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. You ...

• Full-time

... for an experienced Data Engineer to design, develop, and maintain scalable data platforms and pipelines using AWS, Apache Spark, Python, SQL, Kafka, and modern data engineering frameworks . The role will focus on building reliable data solutions for high-volume batch and real-time workloads, including data ingestion, transformation, ...

... Data Engineers to join our team and contribute to scaling our platform across the organization. Create and manage robust data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows ...

• Contract

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• Full-time

Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...

... build robust data pipelines, data lakes, and marts to support business analysts and data scientists. Key Responsibilities Modern Data Platform Development: Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines ...

• Hybrid

... Snowflake-based data warehousing environment to support complex business intelligence needs. You will collaborate closely with cross-functional product teams, data scientists, and senior stakeholders to translate intricate business requirements into scalable, high-performance data pipelines. By architecting efficient storage ...

• Full-time

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. ...

• Hybrid

... data pipelines for performance, reliability, and scalability.- Collaborate with data 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, ...

... relevant reporting tools - Collaborate with data engineers, architects, and business stakeholders to deliver high-quality, scalable solutions. - Knowledge of data security, compliance, and governance best practices Familiarity with monitoring, alerting, and operational runbooks to support production-grade data pipelines ...

... 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) ...

We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL ...

... Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines to provide visibility, insights, and automation across large-scale data operations. You will design and optimize robust data pipelines, build integrations ...

... Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. Collaborate with cross-functional teams including data analysts and engineers. ...

• Hybrid

... data migrations between legacy & modern platforms Design & deliver data warehousing solutions and key data engineering workstreams for any required solution. Support cross-functional teams across the data space. 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models ...