senior data engineer

data scientist

ai engineer

business analyst

it support engineer

data engineer

Arpatech

<p><b>Role &amp; Responsibilities:</b></p><ul><li>Design and implement scalable ETL/ELT pipelines for data ingestion, transformation, and storage.</li><li>Optimize data workflows to improve performance and maintain high scalability.</li><li>Integrate data from multiple sources into centralized data platforms.</li><li>Architect and maintain databases, data lakes, and data warehouses for both structured and unstructured datasets.</li><li>Monitor and validate data to ensure accuracy, consistency, and completeness.</li><li>Implement data security, governance, and compliance controls aligned with industry standards.</li><li>Collaborate with data analysts, AI engineers, and cross-functional teams to gather and define data requirements.</li><li>Provide technical support for analytics, BI, and reporting platforms.</li><li>Evaluate new tools and technologies to enhance data architecture and performance.</li><li>Maintain detailed documentation and update technical guides regularly.</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related discipline.</li><li>3&ndash;4 years of hands-on experience in building and managing data pipelines and data architectures.</li><li>Demonstrated experience designing and managing data pipelines and data architectures.</li><li>Strong knowledge of SQL and NoSQL databases, data modeling concepts, and schema design.</li><li>Hands-on expertise with data processing frameworks such as Apache Spark or Hadoop.</li><li>Experience working with major cloud platforms (AWS, Azure, or Google Cloud).</li><li>Proficiency in programming languages such as Python, Scala, or Java.</li></ul><p><b>Preferred Skills:</b></p><ul><li>Experience with data visualization tools (e.g., Power BI, Tableau).</li><li>Knowledge of streaming and real-time data technologies (e.g., Kafka, Flink).</li><li>Professional certifications in cloud data services (e.g., AWS Certified Data Analytics, Azure Data Engineer).</li></ul><p><b>Shift timings: 9 AM - 6 PM Karachi &amp; Islamabad (Onsite) &amp; Remote for other cities.</b></p><p>Work Location: Remote</p>

Data Engineer

Soothsayer Analytics

<div><div><div><p>Company : <b>Soothsayer Analytics</b></p>
<p>Working Hours : <b>Full Time</b></p>
<p>Locations : <b>Hyderabad</b></p>
<p>Experience : <b>4&ndash;6 Years</b></p><p><br>
</p></div>
</div><b>About the Role:
</b><div><div><p>Soothsayer Analytics is a global AI &amp; Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning &amp; GenAI solutions&mdash;spanning predictive analytics, optimization, NLP, and enterprise-scale AI platforms&mdash;that help leading enterprises forecast, automate, and gain a competitive edge.
</p><p>As a Data Engineer, you will build the foundation that powers these AI systems&mdash;scalable, secure, and high-performance data pipelines.
</p><h5 class="jobSectionHeader"><b>Job Overview</b></h5>
<p>We seek a Data Engineer (Mid-level) with 4&ndash;6 years of hands-on experience in designing, building, and optimizing data pipelines. You will work closely with AI/ML teams to ensure data availability, quality, and performance for analytics and GenAI use cases.
</p><h5 class="jobSectionHeader"><b>Key Responsibilities</b></h5>
<p><b>1. Data Pipeline Development</b></p>
<ul><li>Build and maintain scalable ETL/ELT pipelines for structured and unstructured data.</li>
<li>Ingest data from diverse sources such as APIs, streaming, and batch systems.</li>
</ul><p><b>2. Data Modeling &amp; Warehousing</b></p>
<ul><li>Design efficient data models to support analytics and AI workloads.</li>
<li>Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake.</li>
</ul><p><b>3. Big Data &amp; Streaming</b></p>
<ul><li>Work with distributed systems like Apache Spark, Kafka, or Flink for real-time and large-scale data processing.</li>
<li>Manage feature stores for machine learning pipelines.</li>
</ul><p><b>4. Collaboration &amp; Best Practices</b></p>
<ul><li>Work closely with Data Scientists and ML Engineers to ensure high-quality training data.</li>
<li>Implement data quality checks, observability, and governance frameworks.</li>
</ul><h5 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h5>
<ul><li><b>Education:</b> Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, or related field.</li>
<li><b>Experience:</b> 4&ndash;6 years in data engineering with expertise in:</li>
</ul><ul><li><b>Programming:</b> Python, Scala, or Java (Python preferred)</li>
<li><b>Big Data &amp; Processing:</b> Apache Spark, Kafka, Hadoop</li>
<li><b>Databases:</b> SQL and NoSQL (Postgres, MongoDB, Cassandra)</li>
<li><b>Data Warehousing:</b> Snowflake, Redshift, BigQuery, or similar</li>
<li><b>Orchestration:</b> Airflow, Luigi, or similar</li>
<li><b>Cloud Platforms:</b> AWS, Azure, or GCP (data services)</li>
<li><b>Version Control &amp; CI/CD:</b> Git, Jenkins, GitHub Actions</li>
<li><b>MLOps / GenAI Pipelines:</b> Feature engineering, embeddings, vector databases</li>
</ul><h5 class="jobSectionHeader"><b>Skills Matrix</b></h5>
<div><div><div><div><div><b>Skill</b></div> <div><b>Details</b></div> <div><b>Last Used</b></div> <div><b>Experience (Months)</b></div> <div><b>Self-Rating (0&ndash;10)</b></div>
</div><br>
</div><div><div><div>Python</div>
</div><br>
<div></div><div><div>SQL / NoSQL</div>
</div><br>
<div></div><div><div>Apache Spark</div>
</div><br>
<div></div><div><div>Kafka</div>
</div><br>
<div></div><div><div>Data Warehousing (Snowflake, Redshift, etc.)</div>
</div><br>
<div></div><div><div>Orchestration (Airflow, Luigi, etc.)</div>
</div><br>
<div></div><div><div>Cloud (AWS / Azure / GCP)</div>
</div><br>
<div></div><div><div>Data Quality / Governance Tools</div>
</div><br>
<div></div><div><div>MLOps / LLMOps</div>
</div><br>
<div></div><div><div>GenAI Integration</div>
</div><br>
</div></div></div><div></div><h5 class="jobSectionHeader"><b>Instructions for Candidates</b></h5>
<ul><li>Provide a detailed resume highlighting end-to-end data engineering projects.</li>
<li>Fill out the above skills matrix with accurate dates, duration, and self-ratings.</li></ul></div></div></div>

International Rescue Committee

<div><p>The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.</p><p></p><p>
Technology and Operations support the organization's work by providing reliable and scalable solutions for the IRC's offices around the world. The Data Team at IRC is responsible for the design and delivery of global data strategies and the systems and products that deliver on it.</p><p><b><br>
Job Overview / Summary</b><br>
The Data Engineer will support the implementation, configuration, and maintenance of data pipelines and transformation workflows across IRC's data environment. This role plays an active part in building and operating ELT processes, dbt models, and cloud-based data platforms including Azure Databricks and the IRC Lakehouse.</p><p><br>
The successful candidate has foundational to growing expertise in dbt, SQL, and Databricks, and is eager to take on increasing ownership of data engineering deliverables. Working closely with senior engineers and the Data Architect, this role contributes to data modeling, pipeline development, and platform reliability in a collaborative and fast-paced environment.</p><p><b><br>
Major Responsibilities</b></p><div><b><br>
Pipeline Engineering &amp; Orchestration</b><br>
<ul><li>Build and maintain ELT data pipelines using Databricks Workflows and Azure Data Factory for batch and scheduled processing from internal and external sources.</li><li>Support the ingestion of data from key systems (e.g., D365 CRM, ServiceNow) into Lakehouse.</li><li>Monitor pipeline execution, identify failures, and troubleshooting issues in collaboration with senior engineers.</li><li>Contribute to pipeline documentation and help maintain runbooks and process standards.</li></ul></div><div><b><br>
dbt Development</b><br>
<ul><li>Develop and maintain dbt models across staging, intermediate, and mart layers under the guidance of senior team members.</li><li>Write dbt tests and contribute to source freshness checks to support data quality.</li><li>Learn and apply dbt best practices including modular design, ref dependencies, and incremental model patterns.</li><li>Work with analysts and business teams to translate data requirements into dbt models.</li></ul></div><div><b><br>
SQL &amp; Data Transformation</b><br>
<ul><li>Write intermediate to advanced SQL for data extraction, transformation, and validation tasks.</li><li>Apply SQL techniques including joins, CTEs, window functions, and aggregations to support reporting and analytics needs.</li><li>Assist in query optimization and performance troubleshooting within</li></ul></div><p></p><div><b>
Databricks SQL environments.</b><br>
<ul><li>Support data model maintenance and help accommodate new source fields or schema changes.</li></ul></div><div><b><br>
Databricks &amp; Cloud Platform</b><br>
<ul><li>Develop and maintain Databricks notebooks and jobs for data transformation workloads.</li><li>Gain hands-on experience with Delta Lake concepts and PySpark for data processing.</li><li>Follow Lakehouse design patterns (Bronze/Silver/Gold) as defined by the Data Architect.</li><li>Support cloud resource management including basic cluster configuration and job scheduling.</li></ul></div><div><b><br>
Collaboration &amp; Learning</b><br>
<ul><li>Actively collaborate with the Data Team on pipeline design, troubleshooting, and delivery.</li><li>Participate in code reviews and incorporate feedback to improve code quality.</li><li>Support documentation of processes, standards, and data flows.</li><li>Engage with Finance, FP&amp;A, and other business teams to understand data needs and assist in solution delivery.</li></ul></div><div><i><br>
Key Working Relationships</i><br>
<ul><li>Data Team (Data Architect, Lead Data Engineer, Data Analysts)</li><li>Business / Departmental Priority Setters (Finance, FP&amp;A, Operations)</li><li>Enterprise Systems Owners (D365 CRM, Integra)</li></ul>
Position Reports To</div><p><br>
Lead Data Engineer<br>
Position Supervises: None</p><p><i><br>
Travel Requirements</i><br>
Special projects may require travel to enable on-the-ground learning to support data strategy deliverables.</p><p><b><br>
Minimum Requirements</b></p><div><b><br>
Experience</b><br>
<ul><li>3&ndash;6 years of hands-on experience in data engineering, analytics engineering, or a related technical role.</li><li>Demonstrated experience building or maintaining data pipelines in a professional setting.</li><li>Exposure to cloud-based data platforms, preferably Azure (Databricks, Data Factory, or Synapse).</li></ul></div><div><b><br>
Technical Skills &mdash; Required</b><br>
dbt:<br>
<ul><li>Working knowledge of dbt model development including staging and mart layers.</li><li>Familiarity with dbt tests, documentation, and source configurations.</li><li>Eagerness to deepen dbt skills including incremental models and CI/CD integration.</li></ul></div><div><b><br>
Databricks:</b><br>
<ul><li>Hands-on experience with Databricks notebooks and basic job/workflow setup.</li><li>Familiarity with Delta Lake concepts and Databricks SQL.</li><li>Exposure to PySpark for data transformation tasks.</li></ul></div><div><b><br>
SQL:</b><br>
<ul><li>Solid SQL skills: joins, CTEs, window functions, aggregations, and basic performance awareness.</li><li>Experience writing SQL for data transformation and validation in a cloud data warehouse.</li></ul></div><div><b><br>
Pipeline Engineering:</b><br>
<ul><li>Experience building or supporting ELT pipelines with monitoring and basic data validation.</li><li>Familiarity with pipeline orchestration tools such as Azure Data Factory or Databricks Workflows.</li></ul></div><div><b><br>
Python:</b><br>
<ul><li>Basic to intermediate Python skills for data processing, scripting, and automation.</li><li>Familiarity with PySpark is a plus.</li></ul></div><div><b><br>
Data Modeling:</b><br>
<ul><li>Understanding of star/snowflake schemas and fact &amp; dimension table concepts.</li><li>Exposure to Lakehouse or medallion architecture (Bronze/Silver/Gold) is a plus.</li></ul></div><div><b><br>
Soft Skills</b><br>
<ul><li>Curious and eager to learn with a proactive approach to problem-solving.</li><li>Good communication skills &mdash; able to collaborate across technical and non-technical teams.</li><li>Attention to detail and a strong sense of data quality.</li><li>Comfortable working in a collaborative, fast-paced, and remote team environment.</li></ul></div><div><b><br>
Preferred Additional Requirements</b><br>
<ul><li>Experience with Databricks or Azure Synapse Analytics.</li><li>Familiarity with D365 CRM or Similar data structures.</li><li>Exposure to Git-based workflows and CI/CD practices for data pipeline deployments.</li><li>Experience in a humanitarian, nonprofit, or international development context.</li></ul></div><p><b><br>
Working Environment</b><br>
Remote</p><p></p><p><b><br>
PROFESSIONAL STANDARDS</b></p><p></p><p>
All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.</p><p></p><p>
Cookies: https://careers.rescue.org/us/en/cookiesettings</p><p></p><p>
#li-1</p></div>

Contour Software

<div><p><b>About Contour</b></p><p></p><p>
Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.</p><p><br>
As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.</p><p><br>
What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!</p><p></p><div><div><p><b>
The Division:</b><br>
Constellation Payments is a leading global gateway and merchant services provider with special expertise in software integration and recurring transactions representing a wide variety of verticals &ndash; including government entities, municipalities, moving and storage, club management, attractions, fitness, martial arts, event registration and hospitality management.</p></div><p></p><div><p><b>
The Position:</b><br>
We are looking for a Data Engineer to join our development team and participate in different projects. We are looking for proactive people, team players passionate about technology and big data. This is an excellent opportunity for those professionals looking to develop in one of the fastest growing areas of software development.</p></div><div><p>
The selected individuals will work out of the Contour Software Lahore/Karachi/Islamabad resource center office, as an extension of the division-based R&amp;D department.</p></div><p></p><div><p><b>
Role and Responsibilities:</b></p></div><div><ul><li><p>
Write efficient queries to extract and analyze large datasets while ensuring seamless systems integration by developing robust data workflows.</p></li></ul></div><div><ul><li><p>
Design, develop, and maintain scalable ETL solutions for data pipelines, enhancing and optimizing existing processes to meet evolving business needs.</p></li></ul></div><div><ul><li><p>
Develop and expand the organization&rsquo;s data technology stack to support advanced data processing and analytics needs, leveraging tools like AWS MapReduce and PySpark for big data handling.</p></li></ul></div><div><ul><li><p>
Apply machine learning techniques to clean and process data, supporting future initiatives to integrate machine learning into analytics workflows.</p></li></ul></div><div><ul><li><p>
Continuously evaluate and adopt the most efficient tools and technologies for data extraction, transformation, analysis, and integration.</p></li></ul></div><div><ul><li><p>
Build a strong understanding of customer business needs to deliver tailored and impactful data solutions, collaborating with stakeholders to translate business requirements into technical implementations.</p></li></ul></div><div><ul><li><p>
Utilize AWS services, including MapReduce and related tools, to enable scalable data processing and pipeline optimization while ensuring security, scalability, and cost-efficiency.</p></li></ul></div><div><ul><li><p>
Monitor and improve the performance of data systems and processes, staying updated on industry trends and emerging technologies in data engineering and analytics.</p></li></ul></div><p></p><div><p><b>
Required Skills:</b></p></div><div><ul><li><p>
Minimum 3 years of experience with AWS cloud data lake architectures including services like S3, Glue, Athena, and Redshift.</p></li></ul></div><div><ul><li><p>
Hands on experience with Apache Airflow for designing and managing complex data workflows.</p></li></ul></div><div><ul><li><p>
Deep understanding of data warehouse concepts, architectures, and structures.</p></li></ul></div><div><ul><li><p>
Expertise in cloud technologies, particularly AWS services, including AWS Glue, AWS Data Lake, and Amazon EMR for big data processing.</p></li></ul></div><div><ul><li><p>
Proven ability to design and build robust, scalable data pipelines for big data processing and transformation.</p></li></ul></div><div><ul><li><p>
Hands-on experience with big data tools and frameworks such as PySpark, Databricks, and related technologies.</p></li></ul></div><div><ul><li><p>
Proficiency in programming languages such as Python for data manipulation, transformation, and analysis. Advanced Python development skills, including experience with AWS SDKs (e.g. boto3) for interacting with cloud services.</p></li></ul></div></div><div><div><ul><li><p>
Proficiency in Apache Kafka for real-time data streaming and event-driven architectures.</p></li></ul></div><div><ul><li><p>
Strong SQL skills with a focus on complex query development and optimization. Familiarity with NoSQL databases such as DynamoDB or MongoDB</p></li></ul></div><div><ul><li><p>
Experience integrating Python applications with RESTful APIs and external services</p></li></ul></div><div><ul><li><p>
Deep understanding of data security best practices, including encryption at rest and in transit. Hands-on experience in implementing AWS KMS (Key Management Services) for managing encryption keys.</p></li></ul></div><div><ul><li><p>
Familiarity with IAM policies, VPC configurations, and security groups for securing data pipelines.</p></li></ul></div><div><ul><li><p>
Familiarity with machine learning concepts and their application to data cleaning and integration tasks.</p></li></ul></div><div><ul><li><p>
Advanced English proficiency, with excellent communication skills for collaborating with stakeholders</p></li></ul></div></div><p></p><p><b>
Exciting Benefits we offer:</b></p><ul><li><p>
Market-leading Salary</p></li><li><p>
Medical Coverage &ndash; Self &amp; Dependents</p></li><li><p>
Parents Medical Coverage</p></li><li><p>
Provident Fund</p></li><li><p>
Employee Performance-based bonuses</p></li><li><p>
Home Internet Subsidy</p></li><li><p>
Conveyance Allowance</p></li><li><p>
Profit Sharing Plan [Tenured Employees Only]</p></li><li><p>
Life Benefit</p></li><li><p>
Child Care Facility</p></li><li><p>
Company Provided Lunch/Dinner</p></li><li><p>
Professional Development Budget</p></li><li><p>
Recreational area for in-house games</p></li><li><p>
Sporadic On-shore training opportunities</p></li><li><p>
Friendly work environment</p></li><li><p>
Leave Encashment</p></li></ul><p></p><p><b><i>
Disclaimer:</i></b><i> At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.</i></p><p></p><p><i>
In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.</i></p></div><p></p>

AlphaBOLD

<div><div>Lahore, Pakistan (On-site/Hybrid)
</div><div>Posted: April 14, 2026</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Summary</b></h2>
<p>
Alphabold is looking for a skilled Data Engineer with 3&ndash;5 years of experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in data processing, database systems, and cloud platforms, enabling efficient data flow and analytics across the organization.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<ul><li>Design, develop, and maintain scalable ETL/ELT data pipelines</li>
<li>Build and optimize data architectures, data lakes, and data warehouses</li>
<li>Ensure data quality, integrity, and reliability across systems</li>
<li>Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions</li>
<li>Develop and manage batch and real-time data processing systems</li>
<li>Monitor and troubleshoot data pipeline performance and failures</li>
<li>Implement data governance, security, and compliance best practices</li>
<li>Automate workflows and improve data engineering processes</li>
</ul><h3 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h3>
<ul><li>3&ndash;5 years of experience in data engineering or related roles</li>
<li>Strong proficiency in SQL and Python (or Scala/Java)</li>
<li>Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)</li>
<li>Experience with big data technologies such as Apache Spark, Hadoop, or Kafka</li>
<li>Solid understanding of data warehousing concepts and modeling (Star/Snowflake schema)</li>
<li>Experience with cloud platforms like AWS, Azure, or Google Cloud</li>
<li>Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)</li>
<li>Experience with version control systems (e.g., Git)</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Qualifications</b></h3>
<ul><li>Experience with containerization tools like Docker and orchestration tools like Kubernetes</li>
<li>Knowledge of CI/CD pipelines and DevOps practices</li>
<li>Familiarity with data visualization tools (e.g., Power BI, Tableau)</li>
<li>Understanding of streaming data systems and real-time analytics</li>
</ul><h3 class="jobSectionHeader"><b>Soft Skills</b></h3>
<ul><li>Strong problem-solving and analytical skills</li>
<li>Good communication and collaboration abilities</li>
<li>Ability to work in a fast-paced, agile environment</li>
<li>Attention to detail and commitment to data accuracy</li>
</ul><h3 class="jobSectionHeader"><b>Education</b></h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Have</b></h3>
<ul><li>Certifications in cloud platforms (AWS, Azure, GCP)</li>
<li>Experience working with large-scale distributed systems</li></ul></div>

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Hiring Azure Data Engineer at PAN India locations!!</p>
<p>
Experience Range- 5 to12 Years</p>
<p>
Key Technical Skillsets-</p>
<p>
</p><ul><li>Strong proficiency in Python, Pyspark.</li>
<li>Data Ingestion and Integration: Ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure. For example, you could use Azure Data Factory to orchestrate the extraction, transformation, and loading (ETL) of data from an on-premises SQL Server database to Azure Blob Storage.
</li><li>Data Transformation and Processing: Perform data transformation and processing tasks to prepare the data for analysis and reporting. Azure Databricks or Azure Synapse Analytics can be used for large-scale data transformations using tools like Apache Spark.</li>
<li>Data Storage and Management: Select and manage the appropriate storage solutions for your data. For instance, you could use Azure SQL Database or Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, or Azure Blob Storage for file storage.</li>
<li>Data Warehousing: Implementing data warehousing solutions is a common use case for Azure Data Engineers. Azure Synapse Analytics (formerly Azure SQL Data Warehouse) offers scalable and distributed analytics capabilities for handling large datasets.</li>
<li>Data Modeling and Analysis: Collaborate with data scientists and analysts to design and implement data models for analytical workloads. Azure Analysis Services or Azure Databricks can be used for building and deploying models to support interactive data analysis.</li></ul><p><br>
</p></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404819</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure | Big Data | SQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Azure Data Engineer

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><h1 class="jobSectionHeader"><b>Your Role</b></h1>
<p>As a Data &amp; AI Engineering Specialist, you will be responsible for designing, developing, and deploying scalable data pipelines and intelligent data solutions for healthcare, pharmaceutical, and regulated industry use cases. You will work closely with data scientists, AI engineers, and domain experts to enable high‑quality data ingestion, processing, and retrieval, supporting advanced analytics and AI‑driven platforms.</p>
<p>In this role, you will:</p>
<ul><li>Design and develop data pipelines using <b>Python, SQL, Snowflake, Apache Airflow, and AWS Step Functions</b>.</li>
<li>Build and maintain robust <b>APIs</b> for data ingestion, transformation, and consumption.</li>
<li>Implement data extraction using <b>web‑scraping frameworks</b> where applicable.</li>
<li>Develop and manage workflows using <b>AWS services</b> such as <b>S3, Glue, Lambda, and DynamoDB</b>.</li>
<li>Model and manage complex relationships using <b>Neo4j or other graph databases</b>.</li>
<li>Contribute to the design and implementation of <b>Retrieval‑Augmented Generation (RAG)</b> architectures.</li>
</ul><p></p><h1 class="jobSectionHeader"><b>Your Profile</b></h1>
<ul><li>Experience: 4&ndash;12 years</li>
<li>Location- Hyderabad</li>
<li>Strong hands‑on experience in <b>Python</b>, <b>SQL</b>, and modern data engineering practices.</li>
<li>Experience working with <b>Snowflake</b>, <b>Apache Airflow</b>, and <b>AWS Step Functions</b>.</li>
<li>Experience with <b>API development</b> and data integration patterns.</li>
<li>Hands‑on exposure to <b>graph databases</b> such as <b>Neo4j</b> or similar technologies.</li>
<li>Understanding of <b>RAG (Retrieval‑Augmented Generation)</b> architectures and AI data pipelines.</li>
</ul><h3 class="jobSectionHeader"><b>Domain Knowledge</b></h3>
<ul><li>Experience in <b>Pharmaceutical, Healthcare, or other regulated industries</b>.</li>
<li>Familiarity with <b>biomedical ontologies</b> and <b>clinical data standards</b> is a strong advantage.</li>
</ul><p></p><h1 class="jobSectionHeader"><b>What You&rsquo;ll Love About Working Here</b></h1>
<ul><li>Opportunity to work on advanced data and AI platforms in healthcare and life sciences.</li>
<li>An inclusive, collaborative culture focused on innovation and continuous learning.</li>
<li>Access to upskilling and certifications in cloud, data engineering, and AI technologies.</li>
</ul><p></p><h1 class="jobSectionHeader"><b>About Capgemini in India</b></h1>
<p>Capgemini is an AI‑powered global business and technology transformation partner, helping organizations realize their future through technology, data, and people. With nearly 60 years of heritage, Capgemini is a responsible and diverse organization with <b>420,000 team members across more than 50 countries</b>. The Group reported <b>2024 global revenues of &euro;22.1 billion</b>.</p>
<p>Capgemini in India comprises nearly <b>235,000 team members</b> working across 13 locations including Bengaluru, Chennai, Hyderabad, Mumbai, Pune, Noida, Gurugram, and more. We deliver end‑to‑end services across strategy, technology, engineering, and operations.</p>
<p><b>Make it real | </b><b>www.capgemini.com/in-en</b></p></div></div></div></div></div></div></div>

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