15,733 Data Science Teams jobs in India

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 WorkTM 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

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Business Analyst

In this role, you will:

To be successful in this role, you should meet the following requirements:

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment.

Job Title: Middleware Engineer
Position: Data Engineer
Experience: 5-6yrs
Category: IT Infrastructure
Main location: India, Karnataka, Bangalore
Employment Type: Full Time
Qualification: Bachelor's degree in Computer Science or related field or higher.
Roles and Responsibilities


Data Engineer - 5-6 years experience.
Responsibilities
===
Design, develop, and maintain data architectures, pipelines, and workflows for the collection, processing, storage, and retrieval of large volumes of structured and unstructured data from multiple sources.
Collaborate with cross-functional teams to identify and prioritize data engineering requirements and to develop and deploy data-driven solutions to address business challenges.
Build and maintain scalable data storage and retrieval systems (e.g., data lakes, data warehouses, databases), fault-tolerant, and high-performance data platforms on cloud infrastructure such as AWS, Azure, or Google Cloud Platform.
Develop and maintain ETL workflows, data pipelines, and data transformation processes to prepare data for machine learning and AI applications.
Implement and optimize distributed computing frameworks such as Hadoop, Spark, or Flink to support high-performance and scalable processing of large data sets.
Build and maintain monitoring, alerting, and logging systems to ensure the availability, reliability, and performance of data pipelines and data platforms.
Collaborate with Data Scientists and Machine Learning Engineers to deploy models on production environments and ensure their scalability, reliability, and accuracy.
Requirements:
===
Bachelor s or master s degree in computer science, engineering, or related field.
At least 5-6 years of experience in data engineering, with a strong background in machine learning, cloud computing and big data technologies.
Experience with at least one major cloud platform (AWS, Azure, GCP).
Proficiency in programming languages like Python, Java, and SQL.
Experience with distributed computing technologies such as Hadoop, Spark, and Kafka.
Familiarity with database technologies such as SQL, NoSQL, NewSQL.
Experience with data warehousing and ETL tools such as Redshift, Snowflake, or Airflow.
Strong problem-solving and analytical skills.
Excellent communication and teamwork skills.
Preferred qualification:
===
Experience with DevOps practices and tools such as Docker, Kubernetes, or Ansible, Terraform.
Experience with data visualization tools such as Tableau, Superset, Power BI, or Plotly, D3.js.
Experience with stream processing frameworks such as Kafka, Pulsar or Kinesis.
Experience with data governance, data security, and compliance.
Experience with software engineering best practices and methodologies such as Agile or Scrum.
Must Have Skills
===
data engineer with expertise in machine learning, cloud computing , and big data technologies.
Data Engineering Experince on multiple clouds one of them , preferably GCP
data lakes, data warehouses, databases
ETL workflows, data pipelines,data platforms
Hadoop, Spark, or Flink
Hadoop, Spark, and Kafka
SQL, NoSQL, NewSQL
Redshift, Snowflake, or Airflow

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