Lead Data Engineer Job at Arcesium (Hyderabad, Bangalore, Gurugram)

Lead Data Engineer

At Citi Fund Services is undergoing a major transformation effort to transform t...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Significant years of hands-on experience in software development, with proven experience in data integration / data pipeline developments
Exceptional technical leader with a proven background in delivery of significant projects
Multi-year experience in Data integration development (Ab Initio, Talend, Apache spark, AWS Glue, SSIS or equivalent) including optimization, tuning and benchmarking
Multi-year experience in SQL Oracle, MSSQL and equivalents including optimization, tuning and benchmarking
Expertise with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.) a significant plus
Strong understanding of Agile methodologies (Scrum, Kanban) and experience working in Agile teams
Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premises or public cloud (i.e., Tekton, Harness, Jenkins, etc.)
Demonstrable expertise in financial services considered a plus
Self-starter with the ability to drive projects independently and deliver results in a fast paced environment

Job Responsibility

Architect and develop enterprise-scale data pipelines using the latest data streaming technologies
Implement and optimize delivered solutions through tuning for optimal performance through frequent benchmarking
Develop containerised solutions capable of running in private or public cloud
Ensure solution is aligned to ci/cd tooling and standards
Ensure solution is aligned to observability standards
Effectively communicate technical solutions and artifacts to non-technical stakeholders and senior leadership
Contribute to the journey of modernizing existing data processors move to common and cloud
Collaborate with cross function domain experts to translate business requirements to scalable data solutions

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Data Engineering Lead

Data Engineering Lead a strategic professional who stays abreast of developments...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
Experienced in working with large and multiple datasets and data warehouses
Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
Strong analytic skills and experience working with unstructured datasets
Ability to effectively use complex analytical, interpretive, and problem-solving techniques
Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira

Job Responsibility

Strategic Leadership: Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy
Team Management: Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement
Architecture and Design: Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data
Technology Selection and Implementation: Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data
Performance Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness, ensuring optimal access to global wealth data
Collaboration: Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions that support investment strategies and client reporting
Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations, particularly around sensitive financial data

Fulltime

Big Data / Scala / Python Engineering Lead

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least two years (Over all 10+ hands on Data Engineering experience) of experience building and leading highly complex, technical data engineering teams
Lead data engineering team, from sourcing to closing
Drive strategic vision for the team and product
Experience managing an data focused product, ML platform
Hands on experience relevant experience in design, develop, and optimize scalable distributed data processing pipelines using Apache Spark and Scala
Experience managing, hiring and coaching software engineering teams
Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality
7 to 10+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems
Proficiency in Functional Programming: High proficiency in Scala-based functional programming for developing robust and efficient data processing pipelines
Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary

Fulltime

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Certifications in Azure, Databricks, or Snowflake are a plus
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
8-10 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

Data Engineering Lead

The Engineering Lead Analyst is a senior level position responsible for leading ...

Location

Singapore , Singapore

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
Experienced in working with large and multiple datasets and data warehouses
Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
Strong analytic skills and experience working with unstructured datasets
Ability to effectively use complex analytical, interpretive, and problem-solving techniques
Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira

Job Responsibility

Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy
Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement
Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data
Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data
Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness
Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions
Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations

What we offer

Equal opportunity employer commitment
Accessibility and accommodation support
Global workforce benefits

Fulltime

Lead Data Engineer

We are seeking an experienced Senior Data Engineer to lead the development of a ...

Location

India , Kochi; Trivandrum

Salary:

Not provided

Experion Technologies

Expiration Date

Until further notice

Requirements

5+ years experience in data engineering with analytical platform development focus
Proficiency in Python and/or PySpark
Strong SQL skills for ETL processes and large-scale data manipulation
Extensive AWS experience (Glue, Lambda, Step Functions, S3)
Familiarity with big data systems (AWS EMR, Apache Spark, Apache Iceberg)
Database experience with DynamoDB, Aurora, Postgres, or Redshift
Proven experience designing and implementing RESTful APIs
Hands-on CI/CD pipeline experience (preferably GitLab)
Agile development methodology experience
Strong problem-solving abilities and attention to detail

Job Responsibility

Architect, develop, and maintain end-to-end data ingestion framework for extracting, transforming, and loading data from diverse sources
Use AWS services (Glue, Lambda, EMR, ECS, EC2, Step Functions) to build scalable, resilient automated data pipelines
Develop and implement automated data quality checks, validation routines, and error-handling mechanisms
Establish comprehensive monitoring, logging, and alerting systems for data quality issues
Architect and develop secure, high-performance APIs for data services integration
Create thorough API documentation and establish standards for security, versioning, and performance
Work with business stakeholders, data scientists, and operations teams to understand requirements
Participate in sprint planning, code reviews, and agile ceremonies
Contribute to CI/CD pipeline development using GitLab

Lead Data Engineer

Join our dynamic team as a Lead Data Engineer to spearhead the development, opti...

Location

India , Hyderabad

Salary:

Not provided

Fission Labs

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
Expert-level understanding of Salesforce object model
Comprehensive knowledge of Salesforce integration patterns
Deep understanding of Salesforce data architecture
Experience with Salesforce Bulk API jobs
Ability to handle complex data transformations and migrations
Knowledge of Salesforce metadata and custom object relationships
Advanced Python programming skills
Proven experience with AWS cloud services, specifically: AWS Glue, AWS Step Functions, AWS Lambda, AWS S3, AWS CloudWatch, Athena
Salesforce data model, Bulk jobs and architecture

Job Responsibility

Experience leading and driving large scale data migration projects
Experience in working with all the stakeholders to plan and coordinate the entire migration process
Proficiency in Python development
Experience building scalable, event-driven data migration solutions
Strong understanding of ETL (Extract, Transform, Load) processes
Familiarity with cloud-native architecture principles

What we offer

Opportunity to work on business challenges from top global clientele with high impact
Vast opportunities for self-development, including online university access and sponsored certifications
Sponsored Tech Talks, industry events & seminars to foster innovation and learning
Generous benefits package including health insurance, retirement benefits, flexible work hours, and more
Supportive work environment with forums to explore passions beyond work

Fulltime

Lead Data Engineer

Arcesium

Location:
India , Hyderabad, Bangalore, Gurugram

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 30, 2026

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