131 Etl Processes jobs in Mumbai

Data Engineer _ Director_Software Engineering

Profile Description
Division IST Location Mumbai

We're seeking someone to join our team as Data Engineer as a part of our Institutional Securities_Technology, to will play a key role in helping transform how Morgan Stanley operates

In
stitutional Securities_Technology
Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST's 'clients' include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.

Advisory & Sales Distribution
Advisory is responsible for end-to-end process life cycle support for Investment Banking, Global Capital Markets and Research with a focus on efficiency, scale, and time to market. Sales Distribution develops technology for the firm's IED and FID Sales and Distribution business units, creating application synergies across the businesses various platforms

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 & 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
Strong hand-on experience of Snowflake keeping up to date with available latest features.

Strong hands-on experience on python programming language.

Strong hands-on experience on writing complex SQLs.

Strong understanding of how distributed platforms works.

Ability to develop, maintain and distribute the code in modularized fashion.

Process oriented, focused on standardization, streamlining, and implementation of best practices delivery approach

Basic understanding of Unix shell script and Unix OS platform

Excellent problem solving and analytical skill

Excellent verbal and written communication skills

Ability to multi-task and function efficiently in a fast-paced environment

Self-starter with flexibility and adaptability in a dynamic work environment

Good Understanding of Agile Methodology 5+ years of experience in Data Engineer role.

5+ years of experience in designing & building real time data pipelines and analytical solutions using big data and cloud technology ecosystem (Azure, Snowflake, Databricks etc)

Expertise with Data Lake/Big Data Projects implementation in cloud (preferably Azure+Snowflake)

What You'll Bring To The Role
Experience in Data Reporting Tools (preferably Business Objects)

Experience in Visualization Tools (preferably Power BI)

Financial Domain experience will be a plus

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 85 years. At our foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: 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.

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'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'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'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 into 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.

Godrej Capital is a subsidiary of Godrej Industries and is the holding company for Godrej Housing finance & Godrej Finance. With a digital-first approach and a keen focus on customer-centric product innovation, Godrej Capital offers Home Loans, Loan Against Property, Property Loans, Business Loans and is positioned to diversify into other customer segments and launch new products. The company is focused on building a long-term, sustainable retail financial services business in India, anchored by Godrej Group’s 125+year legacy of trust and excellence. Godrej Capital has a special focus on learning and capability development across its employee base and is committed to diversity, equity, and inclusion as a guiding principle.

The organization has been consistently recognized as a Great Place to Work™ receiving certifications in 2022 and 2023. As it stands, Godrej Capital holds a spot among India's Top 50 Best Workplaces in BFSI 2023 and is also recognized as one of India’s Great Mid-Size Workplaces 2023. Beyond that, it has also had the honor of being named the Best Organization for Women by The Economic Times in both 2022 and 2023, and the Best Workplaces for Women by Great Place to Work in 2022 and in 2023.

Function

Information Technology

Job Purpose

• The role incumbent will be responsible for managing, expanding and optimizing our data pipeline architecture and optimizing data flow and collection for cross functional teams. The incumbent will support our team of data analysts and scientists on data initiatives and will ensure optimal and timely data delivery. Candidate must be self-driven and comfortable supporting the data needs of multiple teams, systems and products. Candidate will play a major role as we work on building a superior and scalable architecture to enable leveraging data to the fullest extent.

Role

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Working knowledge of message queuing, stream processing, and big data data (optional)
• Perform sanity testing, issue reporting and tracking.
• Assist teams in UAT testing and resolve issues as per criticality,
• Handle audit and compliance activities for data platform.
• Track and manage system availability and maintenance tasks.

Qualification & experience

• Years of experience: 3-5 years of experience
• Qualification – Engineering / Certified Data Engineer

Essential skills

• Experience with data pipeline and workflow management tools.
• Knowledge of AWS cloud services, Data-Lake, Glue / Python/ PySpark/ Kafka/ API/ Change Data Capture, Streaming data, data modelling will be a key advantage.
• Experience with relational SQL and NoSQL databases.
• Exposure to lending systems and domain
• Machine Learning skills

Ideal candidate (in terms of current role/ organization/ industry)

• An individual inclined to learn and explore new technologies and utilise the best out of the resources in hand.
• Able to influence and work in a collaborative manner

About the organization:

DMart is one of India's leading retail chains, serving millions of customers across 425+ stores and e-commerce channels throughout India. Our core objective is to offer customers good products at great value. We focus on everyday low pricing, seamless shopping experiences, and data-driven decision making. As we scale our data analytics journey, we're seeking a Data Engineering Lead to drive our next phase of growth.

Key Responsibilities:

• Technical Leadership: Lead architecture design for multiple enterprise data initiatives across cloud, on-premises, and hybrid platforms.
• Data Platform Architecture and Implementation: Define and document multi-layered architectures (Raw, Curated, Analytics) across data warehouses, lake houses, and operational data stores, with an emphasis on cloud-based solutions.
• Production Management: Directly run daily processes for efficient and reliable delivery of all programs end to end for data sync of the data lake – including oversight of change management for enrichment as per CRs.
• Platform Expertise: Apply deep knowledge of architecture patterns and principles, performance tuning, and best practices where Snowflake is part of the solution stack.
• Schema & Data Modelling: Develop conceptual, logical, and physical data models using consistent standards, including dimensional, normalized, and denormalized structures for analytical and operational use cases.
• Best Practices & Optimization: Provide guidance on data partitioning, indexing, access controls, naming conventions, and performance optimization across multiple platforms.
• Metadata & Data Lineage: Collaborate with governance and stewardship teams to integrate metadata management, lineage mapping, and catalog tools (Snowflake Catalog or equivalents).
• Collaboration: Work closely with analysts, governance leads, engineering teams, and application architects to align models with domain requirements and enterprise architecture standards.
• Documentation: Maintain architecture blueprints and technical diagrams using tools such as or equivalent.
• Mentorship: Guide and mentor engineers, modelers, and other technical resources on architectural best practices.

Requisites:

• Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
• Experience: 12+ years of IT experience with a strong background in data engineering, modeling, and architecture. 5+ years of experience designing and implementing enterprise data platforms (cloud/on-prem), including at least 3 years with Snowflake.
• Proficiency in SQL, schema design, and data modeling tools. Certifications in Snowflake incl data modelling, data extracts/ingestion will be given preference.
• Strong knowledge of ELT/ETL patterns, data integration, and orchestration tools (e.g., Airflow).
• Integration Experience with ETL and ELT tools and applications incl SAP ABAP Experience with streaming data platforms and OData. Experience with CDC patterns.
• Experience designing data layers (Raw, Curated, Analytics) with governance and scalability in mind.
• Familiarity with security and compliance frameworks, including RBAC and regulatory requirements.
• Proven track record in project delivery, including performance optimization and handling large-scale dataset.
• Experience with SAP R3 or SAP BW and Google BigQuery.
• Certifications in cloud platforms or enterprise architecture (e.g., TOGAF, DAMA, SnowPro, Azure, GCP).
• Experience integrating data platforms with BI tools (e.g., Power BI, Tableau).
• Knowledge of MDM, data mesh concepts, and even

Are You Ready to Make It Happen at Mondelz International?

In this role, you will have the opportunity to lead the development of a cutting-edge solution that aims to automate data pipelines, reporting and insights to standardize business performance across the US commercial organization to support Mondelez on out AI transformation enabling our 2030 vision. You will play an instrumental part in shaping and prioritizing the features of this solution in daily operations. You will define the requirements, perform the analysis and identify patterns in large amounts of data.

Join our Mission to Lead the Future of Snacking. Make It With Pride.

How you will contribute:

• Be a player & coach to combine people leadership, strategic partnership and data hands-on activities. Run a team of 5-10 off-shore contractors, support the creation of data models and write and run discovery-level SQL queries
• Accountable for building Commercial Data Products, and ensure high data governance standards, including data completeness, harmonization, standardization, data quality, master data, data catalog, accessibility, usability and scalability
• Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities, and delivers analysis outputs in accordance with customer needs and conforming to established standards.
• As an investigator on the data & analytics team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools and producing data visualizations and reporting dashboards.
• Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements.
• Identify patterns and help the business react to changing business conditions,
• Lead the team to perform root-cause analysis and continuous improvement.

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• 7+ years of work experience in Data Analytics required
• 3+ years of work experience as a Leader in Data Analytics field required
• Leader mindset Leading technical teams to success through clear decision-making, accountability, and a hands-on approach
• Experience in Data Product Management – contributing to Regional or Global Data Product Vision and Roadmap with the focus on consumers, partnering with Stakeholders, ensuring adoption and cost-efficiency.
• Passion for building high-quality data products, using data to drive business growth and be comfortable working with data in an entrepreneurial, fast-paced setting.
• Experience in Commercial Business domain, ideally in CPG or FMCG industry including industry-specific external data sources as POS Sellout Data, Nielsen Syndicated Data.
• Experience with Master Data challenges between external and internal data sources.
• Power BI, Tableau, and GCP (Google Cloud Platform) experience preferred. Experience with at least one cloud technology.
• Knowledge of KPIs and scorecards required
• Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals.
• Fluent in English.
• Experience with data governance, privacy regulations, and best practices is required.
• Experience working with Agile using tools like Jira or ADO is required.

Education / Certifications:

• Bachelor's degree in Information Systems/Technology, Business Analytics, or a related field
• Postgraduate degree in Data & Analytics, or a related field is a plus.

Investec is a distinctive Specialist Bank serving clients principally in the UK and South Africa. Our culture gives us our edge: we work hard to find colleagues who'll think out of the ordinary and we put them in environments where they'll flourish. We combine a flat structure with a focus on internal mobility. If you can bring an entrepreneurial spirit and a desire to learn and collaborate to your work, this could be the boost your career deserves.

The Data Engineer will be responsible for designing, building, and maintaining the data architecture and infrastructure necessary for effective data processing and analysis. This role involves collaborating with data analysts, and other stakeholders to ensure that data is accessible, reliable, and optimised for use in various applications.

The candidate will be required to deliver to all stages of the data engineering process – data ingestion, transformation, data modelling and data warehousing, and build self-service data products. The role is a mix of Azure cloud delivery and on-prem (SQL) development. Ultimately all on-prem will be migrated to cloud and decommissioned – but we are only part way along that journey.

Key responsibilities:

• Work closely with end-users and Data Analysts to understand the business and their data requirements.
• Carry out ad hoc data analysis and transform data using Databricks, MS Fabric, or Synapse Analytics.
• Building meta-data driven data ingestion patterns using Azure Data Factory and Databricks, or MS Fabric, or Synapse
• Build and maintain the on-premises SQL Data Warehouse.
• Build and maintain business focused data products.
• Build and maintain Azure Analysis Services cubes.
• Work with Architecture and Engineering teams to deliver projects, and ensure that supporting code and infrastructure follows best practices outlined by these teams.
• Collaborate with Data Engineering Lead, Data Domain Lead and Architect to drive group engineering context within the team continuously.
• Develop and promote exceptional engineering documentation and practices.
• Actively engage with the business units engineering community to promote knowledge sharing.
• Collaborate with squad leader, Head of, engineers, and architects to ensure cohesive strategies and practices within the team.
• Actively encourages creating Investec open-source software where appropriate within the business unit.
• Actively encourages team members within the business unit to speak at technical conferences based on the work being done.

Core skills and knowledge:

• Proven engineering expertise (8+ years)

• Excellent data analysis and exploration using T-SQL

• Strong SQL programming (stored procedures, functions)

• Extensive experience with SQL Server and SSIS

• Knowledge and experience of data warehouse modelling methodologies, in particular Star Schema and Snowflake Schema

• Experience in Azure – one or more of the following: Data Factory, Databricks, MS Fabric, Synapse Analytics, ADLS Gen2.

• Experience in building robust and performant ETL processes.

• Experience in using source control, CI/CD pipelines, and Azure DevOps.

• Build 'infrastructure-as-code' deployment pipelines.

• Familiarity with modern engineering practices and data store design, in particular Lakehouse and Medallion architecture.

• Familiarity with the Data as a Product approach

• Excellent analytical and problem-solving skills, with the ability to think critically and strategically.

• Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.

• To always act with integrity and embrace the philosophy of treating our customers fairly.

As part of our collaborative & agile culture, our working week is 4 days in the office and one day remote.

Investec offers a range of wellbeing benefits to make our people feel healthier, balanced and more fulfilled in their lives inside and outside of work.

Embedded in our culture is a sense of belonging and inclusion. This creates an environment in which everyone is free to be themselves which helps to drive innovation, creativity and ultimately business performance. At Investec we want everyone to find it easy to be themselves, and to feel they belong. It's a responsibility we all share and is integral to our purpose and values as an organisation.

Research shows that some candidates can be reluctant to apply to a role unless they meet all the criteria. We pride ourselves on our entrepreneurial spirit here and welcome you to do the same – if the role excites you, please don't let our person specification hold you back. Get in touch

Recite Me

We commit to ensure that everyone is fairly assessed during our recruitment process. To assist candidates in completing their application form, Recite Me assistive technology is available on our Careers pages. This can be accessed by clicking on the 'Accessibility Options' link at the top of the page.

The Recite Me tool includes a screen reader, styling and customisation options, a series of reading aids, a translator and more.

If you have any form of disability or neurodivergent need and require further assistance in completing your application, please contact the Careers team at (email protected) who will be happy to assist.

Role & responsibilities

Determining product technical requirements and resources to establish work schedules and sprint expectations
• Managing and achieving sprint delivery goals
• Delegating tasks to technical team members, such as coding, testing, debugging, and analytics.
• Designing technical specifications for new features, programs and applications.
• Creating and leading system integration processes
• Conducting regular evaluations of the system architecture and collaborating with the product teams to improve the designs
• Evaluating any project constraints and devising alternatives to reduce risks, whilst performing process re-engineering
• Keeping stakeholders updated about the status of the project development and notifying them immediately when issues arise
• Supervising and motivating development teams to improve their efficiency and productivity
• Write effective APIs
• Build features and applications with a mobile responsive design
• Implementing best practices and coding standards
• Writing advanced programming code and technical documentation

Preferred candidate profile

Bachelors degree in computer engineering or computer science.
• Advanced knowledge of multiple programming languages such as JavaScript, TypeScript, HTML5, C++, Java, SQL, and PHP, Bash
• In-depth understanding of computers, operating systems and system security
• Proficiency in technical drawing and the ability to interpret technical designs
• Excellent project, resource and team management skills
• Previous experience as a software engineer.
• Knowledge of system frameworks such as NodeJS, REACT, .NET, Git, AngluarJS, and GitHub.
• Experience creating and maintaining databases.
• At least 3 years of experience in the field of cloud computing.
• Knowledge of CI/CD systems
• Azure, AWS, and GCP certifications preferred.
• Troubleshooting and analytical skills.

Perks and benefits

Hybrid: Combination of remote work and on-site collaboration at our Mumbai office Schedule: Monday to Friday, 9:30 am 5:30 pm. UK time / IST 2:30 pm - 11:30 pm

Job Description

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.

How you will contribute

You will:

• Work in close partnership with the business leadership team to execute the analytics agenda
• Identify and incubate best-in-class external partners to drive delivery on strategic projects
• Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance
• Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Using data analysis to make recommendations to senior leaders
• Technical experience in roles in best-in-class analytics practices
• Experience deploying new analytical approaches in a complex and highly matrixed organization
• Savvy in usage of the analytics techniques to create business impacts

Are You Ready to Make It Happen at Mondelēz International?

In this role, you will have the opportunity to lead the development of a cutting-edge solution that aims to automate data pipelines, reporting and insights to standardize business performance across the US commercial organization to support Mondelez on out AI transformation enabling our 2030 vision. You will play an instrumental part in shaping and prioritizing the features of this solution in daily operations. You will define the requirements, perform the analysis and identify patterns in large amounts of data.

Join our Mission to Lead the Future of Snacking. Make It With Pride.

How you will contribute:

• Be a player & coach to combine people leadership, strategic partnership and data hands-on activities. Run a team of 5-10off-shore contractors, support the creation of data models and write and run discovery-level SQL queries

• Accountable for building Commercial Data Products, and ensure high data governance standards, including data completeness, harmonization, standardization, data quality, master data, data catalog, accessibility, usability and scalability

• Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities, and delivers analysis outputs in accordance with customer needs and conforming to established standards.

• As an investigator on the data & analytics team, you will apply your knowledge of languages and pull data out of SQL databases, using Tableau/Power BI type tools and producing data visualizations and reporting dashboards.

• Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements.

• Identify patterns and help the business react to changing business conditions,

• Lead the team to perform root-cause analysis and continuous improvement.

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• 7+ years of work experience in Data Analytics required3+ years of work experience as a Leader in Data Analytics field required

• Leader mindset – Leading technical teams to success through clear decision-making, accountability, and a hands-on approach

• Experience in Data Product Management – contributing to Regional or Global Data Product Vision and Roadmap with the focus on consumers, partnering with Stakeholders, ensuring adoption and cost-efficiency.

• Passion for building high-quality data products, using data to drive business growth and be comfortable working with data in an entrepreneurial, fast-paced setting.

• Experience in Commercial Business domain, ideally in CPG or FMCG industry including industry-specific external data sources as POS Sellout Data, Nielsen Syndicated Data.

• Experience with Master Data challenges between external and internal data sources.

• Power BI, Tableau, and GCP (Google Cloud Platform) experience preferred. Experience with at least one cloud technology.

• Knowledge of KPIs and scorecards required

• Excellent communication and collaboration skills to facilitate effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals.

• Fluent in English.

• Experience with data governance, privacy regulations, and best practices is required.

• Experience working with Agile using tools like Jira or ADO is required.

Education / Certifications:

• Bachelor's degree in Information Systems/Technology, Business Analytics, or a related field

• Postgraduate degree in Data & Analytics, or a related fieldis a plus.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy

Business Unit Summary

At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.

Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.

Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job Type

RegularAnalytics & ModellingAnalytics & Data Science