data solutions engineer

Accenture

Project Role : Data Engineer 
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
 
Must have skills : Apache Spark 
Good to have skills : Python (Programming Language), Google BigQuery, PySpark 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data operations. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to understand data requirements and deliver effective solutions. - Monitor and optimize data pipelines for performance and reliability. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Good To Have Skills: Experience with PySpark, Python (Programming Language), Google BigQuery. - Strong understanding of data modeling and database design principles. - Experience with data warehousing concepts and technologies. - Familiarity with cloud platforms and services related to data engineering. Additional Information: - The candidate should have minimum 3 years of experience in Apache Spark. - This position is based at our Chennai office. - A 15 years full time education is required.
 
15 years full time education

Data Engineer

Mind Stream

We are seeking a highly skilled Azure Data Engineer with extensive experience in building, optimizing, and managing scalable data solutions on Microsoft Azure. The ideal candidate will have hands-on expertise in Azure Databricks, Data Factory, Data Lake Storage, and Event Hub, along with strong programming and data engineering skills.Required Skills and Qualifications:<ul><li>8+ years of experience as an Azure Data Engineer or similar role.</li><li>Strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Event Hub.</li><li>Proficiency in programming languages such as PySpark, Scala, or SQL.</li><li>Experience with data modeling, data warehousing, and big data technologies.</li><li>Knowledge of Delta Lake and other data storage formats.</li><li>Familiarity with data integration tools and techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Knowledge of data governance and data quality best practices.</li><li>Strong communication and collaboration skills.</li><li>Certification in Microsoft Azure Data Engineering or irelated areas is a plus</li><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have a minimum of 8 years of total experience as a Data Engineer or in a similar role?</li><li>How many years of hands-on experience do you have with Azure Databricks?</li><li>How many years of experience do you have working with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS)?</li><li>Do you have experience with data modeling, data warehousing, and big data technologies?</li><li>What is your current and expected salary?</li><li>What is your notice period?</li></ul>

Azure Data Engineer

Project Role : Data Engineer 
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
 
Must have skills : PySpark 
Good to have skills : NA 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting and optimizing existing data workflows to enhance performance and reliability. Roles &amp; Responsibilities:- Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the design and implementation of data architecture to support data initiatives. - Monitor and optimize data pipelines for performance and reliability. Professional &amp; Technical Skills:- Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. Must To Have Skills: Proficiency in PySpark. - Strong understanding of data processing frameworks and ETL methodologies. - Experience with data warehousing concepts and tools. - Familiarity with cloud platforms and services for data storage and processing. - Knowledge of data quality and governance best practices. Additional Information:- The candidate should have minimum 3 years of experience in PySpark. - This position is based at our Bhubaneswar office. - A 15 years full time education is required.
 
15 years full time education

Project Role : Data Engineer 
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
 
Must have skills : Amazon Web Services (AWS) 
Good to have skills : PySpark 
Minimum 3 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain robust data pipelines to support data processing and analytics. - Collaborate with data scientists and analysts to understand data needs and provide necessary data solutions. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Amazon Web Services (AWS). - Good To Have Skills: Experience with PySpark. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and processes to ensure efficient data migration. - Familiarity with data warehousing concepts and technologies. Additional Information: - The candidate should have minimum 3 years of experience in Amazon Web Services (AWS). - This position is based at our Kolkata office. - A 15 years full time education is required.
 
15 years full time education

Morgan Stanley

<div>We're seeking someone to join our team as Datawarehousing Engineer with hands-on experience in Python, Apache Spark or Similar, Snowflake, No SQL , graph database and dbt to join our growing data team.
CDRR_Technology
The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce.
Tech Risk Gov &amp; Controls (TRGC)
TRGC provides governance and oversight of Risk across Technology by engaging with internal and external clients, including regulators, to help better identify, manage, mitigate and communicate risk posture.
Software Engineering
This is Director position that develops and maintains software solutions that support business needs.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
At Morgan Stanley India, we support the Firm's global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm's infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate &amp; Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there's ample opportunity to move across the businesses for those who show passion and grit in their work.
 
 
Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on_
What you'll do in the role:
You will be responsible for building scalable data pipelines, transforming data for analytics and reporting, and ensuring high data quality across the organization.
 
This role is ideal for someone who thrives in a fast-paced environment and is passionate about delivering high-impact data solutions.
What you'll bring to the role:
<ul><li>At least 4 years' relevant experience would generally be expected to find the skills required for this role
</li><li>Experience as a Data Engineer or in a similar role.
</li><li>Proficient in languages like Python, used for scripting, ETL processes, and data manipulation and optimizations.
</li><li>Acquainted with implementing and consuming webservices and restful services.
</li><li>Skilled in Apache Spark (especially PySpark) or equivalent.
</li><li>Hands-on experience with Snowflake, including schema design, data loading, performance tuning, warehouse optimization, and access control.
</li><li>Experience with workflow orchestration tools like Airflow, Dagster, or similar.
</li><li>Solid understanding and hands-on experience with dbt for data transformation and modelling.
</li><li>Strong SQL skills and knowledge of data modelling techniques (star/snowflake schema, normalization).
</li><li>Monitor data pipeline health, ensure data quality, and troubleshoot data issues.
</li><li>Familiarity with Git, CI/CD, and version control best practices.
</li><li>Excellent problem-solving, communication, and collaboration skills.
</li><li>Familiarity with data governance, metadata management, or data catalog tools is added advantage.
</li><li>Experience in design and implementing rest api's .
</li></ul>Required:
<ul><li>6+ years of experience as a Data Engineer or in a similar role.
</li><li>Proficient in languages like Python, used for scripting, ETL processes, and data manipulation and optimizations.
</li><li>Acquainted with implementing and consuming webservices and restful services.
</li><li>Skilled in Apache Spark (especially PySpark) or equivalent.
</li><li>Hands-on experience with Snowflake, including schema design, data loading, performance tuning, warehouse optimization, and access control.
</li><li>Experience with workflow orchestration tools like Airflow, Dagster, or similar.
</li><li>Solid understanding and hands-on experience with dbt for data transformation and modelling.
</li><li>Strong SQL skills and knowledge of data modelling techniques (star/snowflake schema, normalization).
</li><li>Monitor data pipeline health, ensure data quality, and troubleshoot data issues.
</li><li>Familiarity with Git, CI/CD, and version control best practices.
</li><li>Excellent problem-solving, communication, and collaboration skills.
</li><li>Familiarity with data governance, metadata management, or data catalog tools is added advantage.
</li></ul>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.</div>

Data Engineer_Director_Data & Analytics Engineering

Capgemini

<div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Job Description
</h2></div><div>Join Capgemini as an FBS Associate Analytics Engineer and be part of our dynamic team dedicated to delivering cutting-edge analytics solutions for our clients. Our Client is one of the largest insurers in the United States, providing a broad spectrum of insurance and financial services.
As part of Analytics Engineering team we work with different business teams to help with Data Engineering, Architecture &amp; Solutioning. Helping build complex data products, data assets to support the organizations D&amp;A needs.
<ul><li>Using the strong Python, SQL, PySpark and cloud technical skills help solve the business challenges related to data &amp; data products
</li><li>Work with different business teams, IT to help business team get the required data to support their needs
</li><li>Become an SME on the different source systems, data products and help different business users with their data needs
</li>Support the existing data assets and products by refreshing the data 
<li>
</li></ul></div></div><div><div>Data Engineering
 
Data Quality &amp; Data Management
 
ETL -
 
Data Warehousing &amp; Data Lake
Python &ndash;
SQL - Snowflake
PySpark
AWS (Lambda, EMR, Step Function) 
</div></div></div>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div>

Data Analytics Engineer | 6 to 9 years | Hyderabad & Pune

Client of Tangent International

Key Responsibilities:
Data Engineering:
<ul>
 <li>Design, develop, and maintain scalable data pipelines and ETL processes.</li>
 <li>Work with structured and unstructured data from multiple sources.</li>
 <li>Ensure data quality, integrity, and consistency across platforms.</li>
 <li>Optimize and maintain databases, data warehouses, and data lakes.</li>
 <li>Collaborate with IT and analytics teams to implement data solutions.</li>
</ul>
Business Analysis:
<ul>
 <li>Translate business requirements into technical specifications for data solutions.</li>
 <li>Develop reports, dashboards, and visualizations to support decision-making.</li>
 <li>Identify trends, patterns, and anomalies in data to provide actionable insights.</li>
 <li>Support business teams in implementing data-driven solutions.</li>
</ul>
General / Collaborative:
<ul>
 <li>Collaborate with cross-functional teams to improve data processes and analytics capabilities.</li>
 <li>Ensure compliance with data privacy, security, and governance policies.</li>
 <li>Stay up-to-date with emerging technologies, tools, and best practices in data engineering and analytics.</li>
</ul>

Data Engineer/Business Analyst

Search 10000+ Data solutions engineer jobs near you this November. New roles added regularly across leading industries. Apply today.

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Data Analytics Engineer | 6 to 9 years | Hyderabad & Pune

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