data engineer

Lumiq

<div>We are seeking a highly skilled (Azure/GCP/AWS) Data Engineer to join our dynamic team. As a Data Engineer , you will play a crucial role in designing, developing, and maintaining our cloud-based data infrastructure to support our BFSI customers. You will work at the intersection of cloud technologies, data engineering, and the BFSI domain to deliver robust and scalable data solutions.
Key Responsibilities :<ul><li>Design, develop, and implement data pipelines, ETL processes, and data integration solutions.</li><li>Collaborate with cross-functional teams to understand data requirements and design scalable data models and architectures that align with BFSI industry needs.</li><li>Optimize data storage, processing, and retrieval for maximum performance and cost-efficiency in Azure cloud environments.</li><li>Implement data security and compliance measures to ensure the protection and integrity of sensitive BFSI data.</li><li>Work closely with data scientists and analysts to enable seamless access to high-quality data for analytical purposes.</li><li>Troubleshoot and resolve data-related issues, ensuring data availability and reliability for BFSI customers.</li><li>Stay updated on industry best practices, emerging cloud technologies, and trends in the BFSI sector to drive continuous improvement and innovation.</li></ul>
Qualifications :
Minimum 2 years experience as a Data Engineer with strong skills in Any Cloud, Python, SQL, Spark, Batch Ingestion and Processing.
Must Have Skills :<ul><li>Strong SQL querying skills</li><li>Strong experience in Python and Spark.</li><li>Strong experience in Batch Ingestion and Processing.</li><li>Strong experience working on Azure/GCP/AWS Cloud platform.</li><li>Experience with any Database (Postgres, MySQL, Oracle, etc.)</li></ul>
Good to Have Skills :<ul><li>Databricks</li><li>Synapse</li><li>Microsoft Fabric</li><li>Azure Certifications</li><li>Streaming and Kafka (For any future streaming use cases)</li></ul>
What Do You Get :<ul><li>Opportunity to contribute to an entrepreneurial culture and exposure to the startup hustler culture.</li><li>Competitive Salary Packages.</li><li>Group Medical Policies.</li><li>Equal Employment Opportunity.</li><li>Maternity Leave.</li><li>Opportunities for upskilling and exposure to the latest technologies.</li><li>100% Sponsorship for certification</li></ul></div>

Data Engineer

Realign

<div><h5 class="jobSectionHeader">Job Type: Contract</h5>
<h5 class="jobSectionHeader">Job Category: IT</h5>
<h4 class="jobSectionHeader">Job Description</h4>
<div>Job Title: Data Engineer</div><div></div> 
Job Summary:
We are seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The role involves working closely with data analysts, data scientists, and business stakeholders to ensure reliable data availability, quality, and performance across the organization.
Key Responsibilities:<ul><li>
Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store structured and unstructured data.</li><li>
Build and optimize data models, data warehouses, and data lakes for analytics and reporting.</li><li>
Collaborate with cross-functional teams (Data Science, Analytics, Product, Engineering) to understand data needs and deliver high-quality solutions.</li><li>
Implement data quality checks, monitoring, and governance practices to ensure accuracy and reliability.</li><li>
Work with large datasets using SQL, Python, or Scala to perform transformations and analysis.</li><li>
Leverage cloud platforms such as AWS, Azure, or GCP for data storage, processing, and orchestration.</li><li>
Optimize data workflows for performance, scalability, and cost efficiency.</li><li>
Ensure compliance with data security, privacy, and regulatory standards.</li></ul>
<h5 class="jobSectionHeader">Required Skills</h5>
AWS Engineer DevOps Engineer Senior Email Security Engineer</div>

Data Engineer-2

Programming.com

Job Description:Position: Senior Data Engineer Location: Hyderabad (WFO) Experience Required: Minimum 5 Years Notice Period: Immediate to 15 daysRole Overview As a Senior Data Engineer, you will play a critical role in architecting, building, and maintaining robust data solutions for our growing organization. You will leverage your expertise to streamline data operations, ensuring data quality, security, and scalability. Working closely with cross-functional teams, you'll drive data engineering initiatives that support and enhance decision-making processes across the company.Key Responsibilities &#9658; Design and implement efficient data pipelines and ETL processes to manage complex data sets. &#9658; Collaborate with data scientists, analysts, and business stakeholders to understand and implement data requirements. &#9658; Develop and optimize data models to support reporting, analytics, and machine learning efforts. &#9658; Ensure data integrity and compliance with industry standards and best practices. &#9658; Monitor, troubleshoot, and optimize data workflows for performance and reliability.Qualifications &#9658; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field. &#9658; Minimum 5 years of hands-on experience in data engineering roles. &#9658; Strong problem-solving skills and ability to work in a fast-paced, team-oriented environment. &#9658; Excellent verbal and written communication skills.Technical Skills: Python, SQL, ETL, Apache Spark, AWS (S3, Redshift, Lambda), Data Warehousing, Big DataJob Types: Full-time, Permanent, FreelancePay: &#8377;471,651.15 - &#8377;1,818,948.76 per yearWork Location: In person

Encora

<div>Data Engineer II

Important Information

Location: Bangalore, Hyderabad, Pune, Chennai, Ahmadabad, noida

Job Summary
<div>
AWe are seeking a Data Engineer with a strong background in building and optimizing data pipelines. The ideal candidate will have the following skills: 
<ul><li>Data Pipeline Development: Expertise in creating and maintaining a data pipeline to move data from MongoDB to Iceberg.</li><li>AWS Glue: Hands-on experience with AWS Glue for building ETL jobs.</li><li>Data Transformation: Proficient in data transformation</li><li>Iceberg: Good working knowledge of the Iceberg table format, including:</li></ul>
o Troubleshooting performance and data integrity issues. 
o Managing catalogs and schema evolution. 
o Implementing upsert functionality for slowly changing dimensions. 
<ul><li>Snowflake: Good experience in working with query build &amp; optimization</li></ul></div>

Experience: 5+ Years

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering &amp; Application Modernization, Data &amp; Analytics, Digital Experience &amp; Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI &amp; LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.</div>

Sennovate

Job Title: Data Engineer (Part-time / Freelance &ndash; Night Shifts)Company: Peak ConnectivityExperience: 5+ YearsLocation: Remote (Part-time / Freelance &ndash; Night Shift Availability Required)About the RolePeak Connectivity is seeking an experienced Senior Data Engineer to join our growing team on a part-time or freelance basis. The ideal candidate will bring strong expertise in Google Cloud Platform (BigQuery, Cloud Composer, Cloud Functions, Dataproc) along with experience in modern data warehousing solutions like Azure Synapse and Snowflake.You will play a key role in building, optimizing, and maintaining data pipelines and workflows while ensuring high availability, scalability, and performance.Key Responsibilities<ul><li>Design, develop, and maintain data pipelines and ETL workflows across GCP (BigQuery, Cloud Composer, Cloud Functions, Dataproc).</li><li>Work with cloud data warehouses (Snowflake, Synapse) to build efficient data models and queries.</li><li>Implement and manage CI/CD pipelines (Jenkins) for automated deployment of data solutions.</li><li>Optimize data pipelines for scalability, performance, and reliability.</li><li>Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.</li><li>Troubleshoot and resolve issues in production data workflows.</li><li>Ensure compliance with security and data governance standards.</li></ul>Required Skills &amp; Experience<ul><li>5+ years of experience in data engineering.</li><li>Strong hands-on expertise in Google Cloud Platform: BigQuery, Cloud Composer, Cloud Functions, Dataproc.</li><li>Proficiency in Azure Synapse and Snowflake data warehouses.</li><li>Strong programming skills in Python.</li><li>Experience with CI/CD tools (Jenkins).</li><li>Excellent problem-solving skills with the ability to work independently.</li><li>Open to part-time / freelance engagements with night shift availability.</li></ul>Preferred Qualifications<ul><li>Experience with data lake architectures.</li><li>Knowledge of orchestration and workflow management beyond Cloud Composer.</li><li>Familiarity with monitoring tools for data pipelines.</li></ul>Engagement Details<ul><li>Type: Part-time / Freelance</li><li>Shift: Night (India time zone alignment with US clients)</li><li>Duration: Ongoing staffing opportunity</li></ul>Job Types: Part-time, FreelanceBenefits:<ul><li>Flexible schedule</li><li>Work from home</li></ul>

SWATX

<div>SWATX is seeking a skilled and experienced Data Engineer with minimum 3 years of experience to join our team. In this role, you will be responsible for building and maintaining our data infrastructure and architecture, ensuring the availability, reliability, and scalability of our data solutions. You will work closely with cross-functional teams to design and implement data pipelines, develop data models, and optimize data storage and retrieval processes. If you have a strong background in data engineering and a passion for transforming raw data into valuable insights, we would love to hear from you.
Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and architectures.
</li><li>Collect, process, and analyze large datasets from various sources to support business intelligence and analytics.
</li><li>Implement data integration solutions to ensure seamless data flow between systems and databases.
</li><li>Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions.
</li><li>Ensure data quality and integrity by performing regular data cleansing and validation.
</li><li>Optimize and tune database performance to handle large volumes of data efficiently.
</li><li>Develop and enforce data security and privacy policies to protect sensitive information.
</li><li>Monitor and troubleshoot data pipelines, addressing any issues or bottlenecks that arise.
</li><li>Create and maintain comprehensive documentation of data processes, pipelines, and architectures.
</li><li>Stay updated with emerging technologies and industry best practices in data
</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in computer science, Information Technology, or a related field.
</li><li>Proven experience as a Data Engineer or in a similar role.
</li><li>Strong proficiency in SQL and experience with relational databases (e.g., MSSQL, Oracle, MySQL, PostgreSQL).
</li><li>Experience with BI technologies (e.g. Microsoft Power BI, Oracle BI, or similar).
</li><li>Preferable experience with big data technologies (e.g., Hadoop, Spark, Kafka).
</li><li>Proficiency in machine learning programming languages such as Python, R.
</li><li>Experience with Enterprise Data warehouse and Data Lake.
</li><li>Experience with ETL tools and processes (e.g. SSIS, ODI, Talend).
</li><li>Knowledge of data modeling, data architecture, and data governance principles.
</li><li>Strong problem-solving skills and attention to detail.
</li><li>Excellent communication skills, both verbal and written, in English and Arabic</li></ul>
Preferable Certificates:<ul><li>Microsoft Certified: Azure Data Engineer Associate
</li><li>Microsoft Certified: Power BI Associate
</li><li>Cloudera Certified Professional (CCP): Data Engineer
</li><li>Certified Data Management Professional (CDMP)</li></ul></div>

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