Data Engineer with Azure Databricks Job at Cigres (Bengaluru)

Azure Data Engineer

Join AlgebraIT, a premier IT consulting firm in Austin, Texas! We are looking fo...

Location

United States , Austin

Salary:

Not provided

AlgebraIT

Expiration Date

Until further notice

Requirements

Minimum of 3 years of relevant experience
Bachelor’s degree in Computer Science or a related field
3+ years of experience in data engineering
Proficiency in Azure services (e.g., Data Lake, Databricks, Synapse)
Strong knowledge of Python, SQL, and data modeling
Excellent problem-solving skills and attention to detail

Job Responsibility

Design, develop, and maintain data pipelines using Azure Data Factory and other Azure services
Collaborate with data scientists and analysts to support data initiatives
Ensure the reliability, availability, and performance of the data infrastructure
Optimize data flow and pipeline architecture
Implement best practices for data security and governance
Monitor data pipelines and troubleshoot issues as needed
Develop and maintain data integration solutions
Document data processes and workflows
Stay up-to-date with Azure technology advancements
Provide support for data-related technical issues

Fulltime

Azure Data Engineer

As an Azure Data Engineer, you will be expected to design, implement, and manage...

Location

India , Hyderabad / Bangalore

Salary:

Not provided

Quadrant Technologies

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field
Hands-on experience in writing complex T-SQL queries and stored procedures
Good experience in data integration and database development
Proficiency in T-SQL and Spark SQL/PySpark. (Synapse/ Databricks)
Extensive experience with Azure Data Factory
Excellent problem-solving skills and attention to detail
5 – 8 years experience
Proven track record of writing complex SQL stored procedures with implementing OTLP database solutions (using Microsoft SQL Server)
Experience with Azure Synapse / PySpark / Azure Databricks for big data processing
Expertise in T-SQL, Dynamic SQL, Spark SQL, and ability to write complex stored procedures

Job Responsibility

Collaborate with cross-functional teams to gather, analyze, and document business requirements for data integration projects
Write complex stored procedures to support data transformation and to implement business validation logic
Develop and maintain robust data pipelines using Azure Data Factory ensuring seamless data flow between systems
Work closely with the team to ensure data quality, integrity, and accuracy across all systems
Contribute to the enhancement and optimization of OLTP systems

Fulltime

Azure Data Engineer

Experience: 3-6+ Years Location: Noida/Gurugram/Remote Skills: PYTHON, PYSPARK...

Location

India , Noida; Gurugram

Salary:

Not provided

NexGen Tech Solutions

Expiration Date

Until further notice

Requirements

3-6+ Years experience
PYTHON
PYSPARK
SQL
AZURE DATA FACTORY
DATABRICKS
DATA LAKE
AZURE FUNCTION
DATA PIPELINE

Job Responsibility

Design and engineer the cloud/big data solutions, develop a modern data analytics lake
Develop & maintain data pipelines for batch & stream processing using modern cloud or open source ETL/ELT tools
Liaise with business team and technical leads, gather requirements, identify data sources, identify data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing and support UAT
Implement continuous integration, continuous deployment, DevOps practice
Create, document, and manage data guidelines, governance, and lineage metrics
Technically lead, design and develop distributed, high-throughput, low-latency, highly available data processing and data systems
Build monitoring tools for server-side components
work cohesively in India-wide distributed team
Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security standards
Build tools for better discovery and consumption of data for various consumption models in the organization – DataMarts, Warehouses, APIs, Ad Hoc Data explorations

Fulltime

Senior Azure Data Engineer

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/...

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

At least 6 years of professional experience in the Data & Analytics area
1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
Knowledge of data management principles and best practices, including data governance, data quality, and data integration
Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues

Job Responsibility

Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
Develop and execute a cloud data strategy aligned with organizational goals
Lead data integration efforts, including ETL processes, to ensure seamless data flow
Implement security measures and compliance standards in cloud environments
Continuously monitor and optimize data solutions for cost-efficiency
Establish and enforce data governance and quality standards
Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
Work with cross-functional teams to understand requirements and provide data solutions
Maintain comprehensive documentation for data architecture and solutions
Mentor junior team members in cloud data architecture best practices

What we offer

Stable employment
“Office as an option” model
Workation
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support

Azure Data Engineer

At LeverX, we have had the privilege of delivering over 1,500 projects for vario...

Location

Uzbekistan, Georgia

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Engineer with strong expertise in Azure services (e.g., Azure Data Factory, Azure SQL Database, Azure Synapse, Microsoft Fabric, and Azure Cosmos DB
Advanced SQL skills, including complex query development, optimization, and troubleshooting
Strong knowledge of indexing, partitioning, and query execution plans to ensure scalability and performance
Proven expertise in database modeling, schema design, and normalization/denormalization strategies
Ability to design and optimize data architectures to support both transactional and analytical workloads
Proficiency in at least one programming language such as Python, C#, or Scala
Strong background in cloud-based data storage and processing (e.g., Azure Data Lake, Databricks, or equivalent) and data warehouse platforms (e.g., Snowflake)
English B2+

Job Responsibility

Design, develop, and maintain efficient and scalable data architectures and workflows
Build and optimize SQL-based solutions for data transformation, extraction, and loading (ETL) processes
Collaborate closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions
Manage and optimize data storage platforms, including databases, data lakes, and data warehouses
Troubleshoot and resolve data-related issues, ensuring accuracy, integrity, and performance across all systems

What we offer

Projects in different domains: healthcare, manufacturing, e-commerce, fintech, etc
Projects for every taste: Startup products, enterprise solutions, research & development initiatives, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay with the company for 4+ years
Market-based compensation and regular performance reviews
Internal expert communities and courses
Perks to support your growth and well-being

Azure Data Engineer

As an Azure Data Engineer, you will design and maintain scalable data pipelines ...

Location

Salary:

Not provided

ACI Infotech

Expiration Date

Until further notice

Requirements

3–5 years of experience as a Data Engineer with Azure ecosystem
Strong skills in SQL, Databricks, and Python
Hands-on experience with Azure Data Factory (ADF)
Power BI experience preferred
Familiarity with Delta Lake and/or Azure Synapse is a plus

Job Responsibility

Develop, manage, and optimize ADF pipelines
Design and implement Databricks notebooks for ETL processes
Write and optimize SQL scripts for large-scale datasets
Collaborate with BI teams to support dashboard and reporting solutions
Ensure data quality, security, and compliance with governance policies

Fulltime

Senior Databricks Data Engineer

To develop, implement, and optimize complex Data Warehouse (DWH) and Data Lakeho...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven, expert-level experience with the entire Databricks ecosystem (Workspace, Cluster Management, Notebooks, Databricks SQL)
In-depth knowledge of Spark architecture (RDD, DataFrames, Spark SQL) and advanced optimization techniques
Expertise in implementing and managing Delta Lake (ACID properties, Time Travel, Merge, Optimize, Vacuum)
Advanced/expert-level proficiency in Python (with PySpark) and/or Scala (with Spark)
Advanced/expert-level skills in SQL and Data Modeling (Dimensional, 3NF, Data Vault)
Solid experience with a major Cloud platform (AWS, Azure, or GCP), especially with storage services (S3, ADLS Gen2, GCS) and networking.

Job Responsibility

Design and implement robust, scalable, and high-performance ETL/ELT data pipelines using PySpark/Scala and Databricks SQL on the Databricks platform
Expertise in implementing and optimizing the Medallion architecture (Bronze, Silver, Gold) using Delta Lake to ensure data quality, consistency, and historical tracking
Efficient implementation of the Lakehouse architecture on Databricks, combining best practices from DWH and Data Lake
Optimize Databricks clusters, Spark operations, and Delta tables to reduce latency and computational costs
Design and implement real-time/near-real-time data processing solutions using Spark Structured Streaming and Delta Live Tables
Implement and manage Unity Catalog for centralized data governance, data security and data lineage
Define and implement data quality standards and rules to maintain data integrity
Develop and manage complex workflows using Databricks Workflows or external tools to automate pipelines
Integrate Databricks pipelines into CI/CD processes
Work closely with Data Scientists, Analysts, and Architects to understand business requirements and deliver optimal technical solutions

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings.

Fulltime

Data Engineer (Azure)

Fyld is a Portuguese consulting company specializing in IT services. We bring hi...

Location

Portugal , Lisboa

Salary:

Not provided

Fyld

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related
Relevant certifications in Azure, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert
Hands-on experience with Azure services, especially those related to data engineering and analytics, such as Azure SQL Database, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure Data Factory, among others
Familiarity with Azure storage and compute services, including Azure Blob Storage, Azure SQL Data Warehouse, Azure HDInsight, and Azure Functions
Proficiency in programming languages such as Python, SQL, or C# for developing data pipelines, data processing, and automation
Knowledge of data manipulation and transformation techniques using tools like Azure Databricks or Apache Spark
Experience in data modeling, data cleansing, and data transformation for analytics and reporting purposes
Understanding of data architecture principles and best practices, including data lake architectures, data warehousing, and ETL/ELT processes
Knowledge of security and compliance features offered by Azure, including data encryption, role-based access control (RBAC), and Azure Security Center
Excellent communication skills, both verbal and written, to collaborate effectively with technical and non-technical teams

Fulltime

Data Engineer with Azure Databricks

Cigres

Location:
India , Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 07, 2026

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