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data engineer

Augusta HiTech Software

<ul><div>Industry: IT
Qualification: Any Degree
Required Skills: Data Engineering, SQL, ETL Tools, Cloud Platform (Azure Preferred)
Working Shift: 2PM to 11PM IST
City: Coimbatore
Country: India<div><div><div><div>
Name of the position: Data Engineer</div></div><div><div>
Location: Coimbatore</div></div><div><div>
No. of resources needed: 01</div></div><div><div>
Mode: Fulltime</div></div><div><div>
Years of experience: 1+ Years</div></div><div><div>
Shift: UK shift (2pm to 11pm)</div></div><div></div> 
About the Role 
We are looking for a passionate Junior Data Engineer with strong skills in Java and SQL, and some hands-on experience in data engineering or ETL development. 
 You will work alongside senior engineers to build, maintain, and optimize data pipelines and data integration workflows across cloud platforms such as Azure and Snowflake. 
 This role is ideal for candidates with a software development background who are eager to grow their career in data engineering and analytics using modern tools and technologies. 
 
Key Responsibilities 
<ul><div>
Develop and maintain data ingestion and transformation pipelines using Java, SQL, and ETL tools.</div><div>
Work on data extraction, transformation, and loading (ETL/ELT) processes from multiple sources (databases, APIs, flat files, etc.).</div><div>
Collaborate with senior engineers to design and optimize data models in Snowflake or other cloud data warehouses.</div><div>
Write complex SQL queries and stored procedures for data validation, transformation, and analysis.</div><div>
Support Azure Data Factory (ADF), DBT, or similar tools for workflow orchestration.</div><div>
Participate in data quality checks, performance optimization, and troubleshooting.</div><div>
Maintain documentation, ensure code versioning with Git, and assist with CI/CD pipeline integration.</div><div>
Work closely with analysts to ensure reliable, high-quality data delivery for reporting and analytics.</div></ul>
Required Skills &amp; Qualifications 
<ul><div>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.</div><div>
1&ndash;3 years of experience in software development or data engineering.</div><div>
Strong programming knowledge in Java (OOPs, JDBC, APIs, Collections).</div><div>
Proficient in SQL and relational database concepts.</div><div>
Basic hands-on experience with ETL tools (Azure Data Factory, DBT, FiveTran, Talend, etc.).</div><div>
Understanding of data warehousing, data modeling (Star/Snowflake schemas), and data pipelines.</div><div>
Familiarity with cloud platforms (Azure preferred, AWS optional).</div><div>
Strong analytical and problem-solving abilities with good communication skills.</div></ul></div></div></div></ul><div></div>

Data Engineer

Tata Consultancy Services

<div>
 
 
 Required Information
 
 
 
 Role**
 
 
 
 Microsoft Azure Data Engineer
 
 
 
 Required Technical Skill Set**
 
 
 
 SQL, ADF, ADB, ETL/Data background
 
 
 
 
 
 
 Desired Experience Range 4
 
 
 Location of Requirement
 
 
 
 India
 
 
 
 
 
 
 
 Desired Competencies (Technical/Behavioral Competency)
 
 
 
 
 Must-Have**
 
 
 
 
 (Ideally should not be more than 3-5)
 
 
 
 Strong handson with Azure Data Factory (ADF), Azure Databricks, ADLS, SQL, ETL/ELT Pipelines &ndash; building, orchestrating, and optimizing data pipelines. DevOps (version control (Git)
 
 
 
 Good-to-Have
 
 
 
 Water industry domain knowledge
 
 
 
 
 
 
 SN
 
 
 
 
 Responsibility of / Expectations from the Role
 
 
 
 
 1
 
 
 
 Deliver clean, reliable and scalable data pipelines
 
 
 
 2
 
 
 
 Ensure data availability and quality
 
 
 
 3
 
 
 
 Excellent communication and documentation abilities
 
 
 
 4
 
 
 
 Strong analytical skil
 
</div>

SB Infowaves

We are seeking a skilled Data Engineer (Good exposure in Power BI) to design, build, and optimize scalable data pipelines and infrastructure. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to ensure data is reliable, accessible, and efficient for analytics and decision-making.Key Responsibilities<ul><li>Design, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data.</li><li>Build and manage data warehouses, data lakes, and real-time data platforms.</li><li>Ensure data quality, consistency, and security across all data systems.</li><li>Optimize database performance and implement best practices for scalability and reliability.</li><li>Collaborate with data analysts, BI developers, and data scientists to understand data needs.</li><li>Automate workflows, monitoring, and error handling in data pipelines.</li><li>Work with cloud platforms (AWS, Azure, GCP) and modern data tools to deliver end-to-end solutions.</li><li>Implement governance standards and contribute to data documentation.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Information Systems, or related field.</li><li>Proven experience as a Data Engineer / ETL Developer / Database Engineer.</li><li>Strong knowledge of SQL, Python, and/or Scala/Java.</li><li>Hands-on experience with data integration tools (e.g., Apache Spark, Kafka, Airflow, Talend, Informatica).</li><li>Proficiency in cloud data services: AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake.</li><li>Solid understanding of data modeling, warehousing concepts, and big data technologies (Hadoop, Hive, etc.).</li><li>Experience with CI/CD pipelines, Git, Docker, Kubernetes is a plus.</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>Job Type: Full-timePay: &#8377;800,000.00 - &#8377;1,000,000.00 per yearExperience:<ul><li>Data Engineer: 3 years (Preferred)</li></ul>Work Location: In person

<div>
 
 We are Hiring For
 
 
 
 Data Engineer (Python Pyspark Data bricks)
 
 
 
 
 
 
 Required Technical Skill Set**
 
 
 
 (Python Pyspark Data bricks)
 
 
 
 
 
 
 Desired Experience Range**
 
 
 
 6+
 
 
 
 
 
 
 Location of Requirement
 
 
 
 Hyderabad
 
 
 
 
 
 
 
 Desired Competencies (Technical/Behavioral Competency)
 
 
 
 
 Must-Have**
 
 
 
 
 Job Expectations:
 
 
 
 
 
 
 
 Job Expectations:
 
 
 <ul>
 <li>
 Create and maintain optimal data pipeline architecture,
 </li>
 <li>
 Assemble large, complex data sets that meet functional / non-functional business requirements.
 </li>
 <li>
 Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
 </li>
 <li>
 Build the infrastructure required for optimal ingestion, transformation, and Publishing of data from a wide variety of data sources using Python/Spark and AWS &lsquo;big data&rsquo; technologies.
 </li>
 <li>
 Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
 </li>
 <li>
 Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
 </li>
 <li>
 Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
 </li>
 <li>
 Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
 </li>
 <li>
 Work with data and analytics experts to strive for greater functionality in our data systems
 </li>
 </ul>
 
 
</div>

vlitechnologies

Role: Senior Data Engineer Experience: 6+ Years Rate: 70k -80k per month Location: Remote (candidate must visit once in 2 months to Jaipur, company will bear all allowances excluding food)Job Type: Full-timePay: Up to &#8377;70,000.00 per monthBenefits:<ul><li>Food provided</li></ul>

Data engineer

Princeton IT America

Data EngineerLocation: RemoteExperience: 10+ YearsPosition Type: ContractWork Timings: UK ShiftJob Overview:We are seeking a highly experienced Data Engineer with a strong background in MicrosoftFabric and Google Cloud Platform (GCP) to design, implement, and optimize large-scale datasolutions. The ideal candidate will have extensive hands-on expertise in building robust datapipelines, managing complex data architectures, and enabling advanced analytics throughmodern data engineering practices.This role requires a professional with deep technical understanding, analytical thinking, and theability to work independently in a fast-paced environment aligned with UK business hours.Key Responsibilities:&#61623; Design, develop, and manage scalable data pipelines and workflows using MicrosoftFabric and GCP.&#61623; Build and maintain dataflows (Gen2), notebooks (Python and Spark SQL), and DirectLake models to support analytics and business intelligence.&#61623; Implement and manage CI/CD processes within Fabric to ensure streamlineddeployments and environment consistency.&#61623; Configure and monitor data security policies within Fabric to ensure compliance anddata governance standards.&#61623; Develop optimized DAX queries and data models for performance and usability.&#61623; Build and manage data ingestion pipelines from various sources to BigQuery,leveraging Pub/Sub and Cloud Functions.&#61623; Collaborate with cross-functional teams including analysts, data scientists, and architectsto deliver integrated, high-quality data solutions.&#61623; Optimize data storage, processing, and access for performance, scalability, and costefficiency.&#61623; Troubleshoot, monitor, and maintain data solutions to ensure reliability and data integrity.Required Skills &amp; Experience:Microsoft Fabric Expertise:&#61623; Proven hands-on experience in Fabric pipelines, Dataflow Gen2, and Notebooks.&#61623; Strong proficiency in Python and Spark SQL for data transformation and analytics.&#61623; Experience in CI/CD pipelines within Fabric and related DevOps practices.&#61623; Deep understanding of data security configurations and permissions in Fabric.&#61623; Experience building Direct Lake models and implementing DAX for analytics.GCP Expertise:&#61623; Practical experience in BigQuery, including schema design, performance tuning, andquery optimization.&#61623; Hands-on experience with Cloud Functions for event-driven data processing.&#61623; Expertise in Pub/Sub for data streaming and integration workflows.General Skills:&#61623; Strong understanding of data modeling, ETL/ELT frameworks, and data governanceprinciples.&#61623; Ability to design and maintain high-performance, scalable cloud data architectures.&#61623; Proficiency in version control (Git) and automated deployment practices.&#61623; Excellent analytical and problem-solving skills with a strong attention to detail.&#61623; Strong communication skills and ability to work with distributed, cross-functional teams.Preferred Qualifications:&#61623; Experience with Power BI and integration of Fabric data models for analytics.&#61623; Knowledge of modern data lake architectures and data virtualization.&#61623; Familiarity with machine learning data preparation pipelines and frameworks.Additional Details:&#61623; Contract Duration: Long-term, extendable based on performance and projectrequirements.&#61623; Work Mode: Fully remote (UK working hours).&#61623; Engagement Type: Individual Contributor role within a collaborative global team.Job Type: Full-timePay: &#8377;2,500,000.00 - &#8377;3,120,000.00 per yearExperience:<ul><li>Microsoft Fabric: 9 years (Required)</li><li>Dataflow Gen 2: 8 years (Required)</li><li>Python: 9 years (Required)</li></ul>Work Location: Remote

Data EngineerType: Permanent / Contractual (C2H)Experience: 8+ Years (Minimum 5 years of relevant experience in Databricks)Location: Noida / HyderabadWork Mode: Onsite (5 Days a Week)Notice Period: ImmediatePosition OverviewWe are seeking a highly skilled Data Engineer to design and implement scalable data platforms leveraging Databricks. The ideal candidate will have deep expertise in data architecture, pipeline development, and integration of diverse data sources including SQL Server, MongoDB, and InfluxDB. This requires proficiency in both real-time and batch data processing, with a strong foundation in cloud data solutions (preferably Azure). This position offers the opportunity to work on advanced analytics, machine learning enablement, and enterprise-scale data solutions that drive business insights and innovation.Key Responsibilities&#61623; Design, build, and maintain a robust data platform on Databricks.&#61623; Develop scalable ETL/ELT pipelines s to ingest data from multiple sources (SQL Server, MongoDB, InfluxDB) into Databricks Delta Lake.&#61623; Implement both real-time and batch data ingestion strategies using Kafka, Azure Event Hubs, or equivalent tools.&#61623; Optimize data storage and processing for performance, scalability, and cost efficiency.&#61623; Build and maintain data models supporting BI, analytics, and machine learning use cases. &#61623; Collaborate closely with Data Scientists, Analysts, and Product Teams to define and deliver data requirements.&#61623; Ensure data quality, security, and governance across all pipelines and data repositories.&#61623; Conduct performance tuning, monitoring, and troubleshooting to ensure reliability of data workflows.Required Skills &amp; Qualifications&#61623; Proven hands-on experience in Databricks, including Delta Lake, Spark, PySpark, and SQL. &#61623; Strong understanding of data integration from heterogeneous systems &mdash; SQL Server, MongoDB, and InfluxDB.&#61623; Expertise in ETL/ELT pipeline development and workflow orchestration using tools like Apache Airflow, Azure Data Factory, or similar.&#61623; Proficiency in data modeling, data warehousing, and performance optimization techniques.&#61623; Experience in real-time data streaming using Kafka, Azure Event Hubs, or related technologies.&#61623; Advanced programming skills in Python and SQL.&#61623; Working knowledge of Azure Cloud and its data services.&#61623; Experience with Change Data Capture (CDC) techniques for incremental data processing. &#61623; Excellent problem-solving, debugging, and analytical skills.Job Type: Full-timePay: &#8377;2,000,000.00 - &#8377;2,400,000.00 per yearExperience:<ul><li>Data Engineer: 8 years (Required)</li><li>Delta Lake: 6 years (Required)</li></ul>Work Location: In person

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