senior data engineer

InfoTech Logic

<ul><li>Job Title: Senior Data Engineer / Data Solutions Specialist</li><li>Location: Johar Town</li><li>Experience Required: 5+ Years</li><li>Office Timing: 3 pm - 12 am</li></ul>About the Role:We are looking for a highly skilled Senior Data Engineer to architect, build, and optimize our data infrastructure. You will be responsible for designing scalable data pipelines, maintaining enterprise-grade databases, ensuring data reliability, and enabling advanced analytics across the organization. Your work will serve as the technical backbone for data-driven decision-making.Key Responsibilities<ul><li>Architect, design, and maintain scalable relational and distributed databases (MS SQL Server, MySQL, PostgreSQL).</li><li>Build and optimize ETL/ELT pipelines for structured and unstructured data.</li><li>Develop and manage data warehouses and data lake solutions for analytics workloads.</li><li>Implement data ingestion frameworks and automate data workflows using SSIS, Azure Data Factory, or similar tools.</li><li>Write robust, optimized SQL queries, scripts, and stored procedures for performance-sensitive workloads.</li><li>Collaborate with Data Analysts and Business Teams to deliver analytical data models, marts, and datasets.</li><li>Implement data quality checks, governance practices, and ensure data integrity and security.</li><li>Monitor system performance and perform troubleshooting, performance tuning, and capacity planning.</li><li>Maintain documentation and enforce best practices in data architecture and DevOps/data engineering cycles.</li><li>Mentor junior team members and contribute to building a scalable data engineering culture.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>5+ years of proven experience as a Data Engineer, Database Developer, or similar role.</li><li>Strong command of SQL and RDBMS tuning, indexing, partitioning, and optimization.</li><li>Hands-on experience with ETL tools (SSIS, Azure Data Factory, Informatica, etc.).</li><li>Experience with data warehousing concepts, dimensional modeling, and OLAP systems.</li><li>Familiarity with cloud platforms (Azure preferred; AWS/GCP is a plus).</li><li>Good understanding of distributed data systems, streaming (Kafka/Spark) is a plus.</li><li>Experience collaborating with BI teams for KPI dashboards and analytics.</li><li>Strong analytical mindset, communication, and problem-solving skills</li></ul>Job Type: Full-timeWork Location: In person

Senior Data Engineer

Infutrix Technologies Pvt.Ltd.

Job Title: Senior Data EngineerExperience: 3 - 6 yrsEmployment Type: Full-timeLocation : Delhi NCR /MohaliOverview:Infutrix Technologies, is a fast-growing AI solutions company led by alumni from IITs andIIMs. We specialize in building bespoke AI applications that transform complex challengesinto scalable opportunities. Join us as we redefine what's possible - one intelligent solution ata time.We're on the lookout for a skilled and passionate AI Engineer ready to push boundaries.In this role, you'll architect, develop, and deploy intelligent systems across diverse domains.You'll work closely with top-tier data scientists, engineers, and product innovators to turncomplex challenges into actionable insights using vast datasets and cutting-edge tools.If you're eager to make a real-world impact and thrive in a dynamic, future-focusedenvironment &mdash; this is your moment to shine. Join us and help build an intelligent future.About the RoleWe are seeking a Senior Data Engineer with strong expertise in distributed data systems,real-time streaming, and cloud-based data warehouses. You&rsquo;ll design and maintainscalable data pipelines, optimize performance, and mentor junior engineers.Key Responsibilities&#9679; Build and maintain ETL pipelines with Spark (Scala &amp; PySpark).&#9679; Develop real-time streaming applications using Kafka Streams (Java).&#9679; Architect AWS Data Lakes (S3, Glue, EMR) with Apache Iceberg.&#9679; Design and optimize Snowflake warehouses and SQL queries.&#9679; Collaborate with cross-functional teams to deliver data solutions.&#9679; Contribute to CI/CD, containerization (Docker/Kubernetes), and best practices.&#9679; Mentor junior engineers and support team growth.Required Skills&#9679; 4-6 years in Data Engineering&#9679; At least one of Snowflake / Databricks / Azure Data Factory / dbt&#9679; At least one of PostgreSQL / Oracle / MySQL / SQL Server&#9679; Experience in building ETL pipelines&#9679; AWS services (S3, RDS, Glue, EMR, Redshift, Athena, Lambda)&#9679; Data Migration, Data warehousing, Data modelling&#9679; Knowledge about latest AI models (especially LLMs and VLMs)Good to have skills:&#9679; Data Analytics skills&#9679; Knowledge about Machine Learning techniques&#9679; Either of Power BI / Tableau / Qlik / Looker&#9679; Real time streaming applications (Kafka streams/Java)&#9679; Kubernetes, DockerJob Types: Full-time, PermanentApplication Question(s):<ul><li>Do you have experience in Snowflake or Databricks?</li></ul>Experience:<ul><li>Data migration: 3 years (Required)</li></ul>Location:<ul><li>Delhi, Delhi (Required)</li></ul>Work Location: In person

BBGC

We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions. Senior Data Engineer will play a critical role in designing, bu We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions. Senior Data Engineer will play a critical role in designing, building, and maintaining scalable data pipelines and analytics solutions using Azure and Data bricks ecosystem . Collaborate closely with business stakeholders - to ensure data is accessible, reliable, and optimized for performance. Requirements 6+ years of experience in data engineering or related roles. Proven expertise in Azure Data Factory and Azure Databricks. Strong proficiency in Python for data engineering tasks. Solid understanding of SQL and relational databases. Exposure to real-time data processing frameworks (e.g., Spark Streaming, Kafka). Experience in maintaining and supporting production-grade data pipelines. Familiarity with trading business domain, including market data, trade lifecycle, and financial instruments. Experience with version control systems (e.g., Git) and CI/CD pipelines. Excellent problem-solving skills and attention to detail.

Mastek

<div>
 
 We are looking for a Senior Data Engineer with good exposure to Cloud Services in AWS(IAM, RDS, Lambda, DMS) along with Snowflake/Postgresql, ETL and Streaming Services like Kafka.
 
</div>

FairSquare

<div>Senior Data Engineer - San Diego, CA, Irvine, CA, Orlando, FL, or Atlanta, GA.
<ul><li>Hybrid 3 days/week, Full time M-F 8am-5pm PST/EST</li><li>
Being authorized to work in the U.S. is a precondition of employment.</li><li>
FairSquare does not consider candidates requiring 1099 or C2C.</li><li>
Exempt/Salary: $101,000-$161,000 + Bonus</li></ul>
FairSquare is continuing to grow its Data Engineering Department and has an exciting opportunity for a Senior Data Engineer. Reporting to the Manager, Data Engineering, the Data Engineer will be focusing on understanding the data flow across source systems, assisting in integrating data for operational use and creating an intuitive and highly integruous data environment to support modeling, analytics and reporting.
Responsibilities:
<ul><li>The data engineer will participate in the on-going data warehouse implementation and work closely with the data and risk teams including analysts, data scientists, and business stakeholders. This includes the full DW lifecycle of requirements gathering, data modeling, data mapping, ETL, QA and maintenance.</li><li>
The primary responsibility will be ETL work using dbt integrating data, applying business rules and transformations, creating both normalized and de-normalized data. Additionally, there will be tasks to create pipelines within AWS for varying data sources and destinations. This role will also be involved in the design, development and maintenance of operational applications.</li><li>
Other responsibilities include supporting other data engineers, managing CI/CD pipelines through git, administrative tasks for project management and platform maintenance, data sourcing, responding to and resolving alerts quickly, documentation, AWS work and other tasks to support the data driven nature of the company.</li></ul>
Knowledge, Skills and Abilities Required:
<ul><li>5+ years' experience working as a Data Engineer; data warehousing, ETL, pipelines, governance.
 
Expertise in dbt, Snowflake, git and AWS required.</li><li>
Expertise in data modeling, ETL, data governance required.
</li><li>Experience with Salesforce is a plus.</li></ul>
Nice to Have Skills:
<ul><li>Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, techniques using UDFs.
</li><li>Experience in Snowflake administration (resource monitors, RBAC, virtual warehouse sizing, query performance tuning, time travel).</li><li>
Experience with designing and implementing data quality metrics.</li><li>
Experience in git integrations with dbt and JIRA.</li></ul>
Physical Demands:
<ul><li>Working in a temperature-controlled office environment
 
Sitting at a desk for prolonged periods of time while viewing multiple computer screen monitors</li><li>
Potential lifting of boxes around 5-10lbs</li></ul>
Why FairSquare?
<ul><li>Growing, successful company preparing to almost double in size over the next three years (this is your opportunity to get in on the ground floor)
</li></ul><ul><li>Positive, energetic, passionate, business casual environment with management who committed to your success
</li></ul><ul><li>Fantastic benefits package including a 401(k) match
</li></ul><ul><li>Numerous employee events throughout the year, including our annual traditions such as a Day at the Del Mar Racetrack, Holiday Party, Employee and Family Picnic, sporting events and more.
</li></ul>FairSquare and it's family of brands has been serving the small business community since 1999. We have provided more than $3 billion in funding to over 50,000 customers to support their working capital and equipment financing needs. We are one of the country's largest private providers of small business loans, having funded more than $3 billion to help small businesses grow. Our personal approach helps strengthen small business owners and we pride ourselves on being a resource they can trust. We are believers in small business owners.
FairSquare is an Equal Opportunity Employer.</div>

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Senior Data Engineer on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
Job Summary: 
We’re looking for a Senior Data Engineer to help shape the foundation of the company's data ecosystem. You will be responsible for building and maintaining scalable data pipelines, warehouses, and systems that power analytics, reporting, and AI-driven decision-making across the company. You’ll work closely with data scientists, analysts, and product/engineering teams to ensure our data infrastructure is high-performing, reliable, and secure.
 
Responsibilities: 
<ul>
<li>Design, build, and maintain robust ETL/ELT pipelines to collect, process, and transform data from multiple internal and external sources.</li>
<li>Develop and manage data models, schemas, and warehouse/lakehouse solutions (e.g., Snowflake, BigQuery, Redshift, Databricks).</li>
<li>Ensure high standards of data quality, governance, and lineage across all systems.</li>
<li>Implement workflow orchestration and automation using tools such as Airflow, dbt, or Dagster.</li>
<li>Collaborate with analytics, product, and engineering teams to define and enforce data architecture best practices.</li>
<li>Enable real-time and batch data processing pipelines using technologies like Kafka, Spark, or Flink.</li>
<li>Optimize data storage, query performance, and cost efficiency across the company's data platforms.</li>
<li>Champion modern data engineering principles — versioning, CI/CD, observability, and infrastructure-as-code.</li>
<li>Work closely with the AI and Data Science teams to support model development and deployment pipelines.</li>
</ul>
Requirements: 
<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.</li>
<li>5+ years of experience in data engineering or a similar role.</li>
<li>Strong proficiency with SQL and at least one programming language (Python, Scala, or Java).</li>
<li>Hands-on experience with modern data stacks — Airflow, Snowflake/BigQuery/Redshift.</li>
<li>Experience working with cloud environments such as AWS, GCP (preferably GCP).</li>
<li>Solid understanding of data modeling, partitioning, and performance optimization techniques.</li>
<li>Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD for data systems.</li>
<li>Excellent problem-solving, communication, and collaboration skills.</li>
</ul>

Halan - حالا

<div>
 
 Job Overview:
 
 
 We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 
 
 Key responsibilities:
 
 
 &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 
 
 &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 
 
 &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 
 
 &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 
 
 &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 
 
 &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 
 
 &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 
 
 &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 
 
 Requirements:
 
 
 &bull; 4+ years of professional experience as a Software Engineer, with a focus on data engineering.
 
 
 &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 
 
 &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 
 
 &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 
</div>

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