30+ Data modeling Jobs in Bangalore (Bengaluru) | Data modeling Job openings in Bangalore (Bengaluru)

Job Description for Data Engineer Role:- 

Must have:

Experience working with Programming languages. Solid foundational and conceptual knowledge is expected.

Experience working with Databases and SQL optimizations

Experience as a team lead or a tech lead and is able to independently drive tech decisions and execution and motivate the team in ambiguous problem spaces.

Problem Solving, Judgement and Strategic decisioning skills to be able to drive the team forward. 

Role and Responsibilities:

• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
• Collaborate with digital product managers, and leaders from other team to refine the strategic needs of the project
• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases
• Defining best practices for data validation and automating as much as possible; aligning with the enterprise standards

Qualifications -

• Experience with SQL and NoSQL databases.
• Experience with cloud platforms, preferably AWS.
• Strong experience with data warehousing and data lake technologies (Snowflake)
• Expertise in data modelling
• Experience with ETL/LT tools and methodologies
• Experience working on real-time Data Streaming and Data Streaming platforms
• 2+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
• 2+ years working with SQL and NoSQL databases, data modeling and data management
• 2+ years of experience with AWS, GCP, Azure, or another cloud service.

Responsibilities:

• Design, implement, and maintain scalable and reliable database solutions on the AWS platform.
• Architect, deploy, and optimize DynamoDB databases for performance, scalability, and cost-efficiency.
• Configure and manage AWS OpenSearch (formerly Amazon Elasticsearch Service) clusters for real-time search and analytics capabilities.
• Design and implement data processing and analytics solutions using AWS EMR (Elastic MapReduce) for large-scale data processing tasks.
• Collaborate with cross-functional teams to gather requirements, design database solutions, and implement best practices.
• Perform performance tuning, monitoring, and troubleshooting of database systems to ensure high availability and performance.
• Develop and maintain documentation, including architecture diagrams, configurations, and operational procedures.
• Stay current with the latest AWS services, database technologies, and industry trends to provide recommendations for continuous improvement.
• Participate in the evaluation and selection of new technologies, tools, and frameworks to enhance database capabilities.
• Provide guidance and mentorship to junior team members, fostering knowledge sharing and skill development.

Requirements:

• Bachelor’s degree in computer science, Information Technology, or related field.
• Proven experience as an AWS Architect or similar role, with a focus on database technologies.
• Hands-on experience designing, implementing, and optimizing DynamoDB databases in production environments.
• In-depth knowledge of AWS OpenSearch (Elasticsearch) and experience configuring and managing clusters for search and analytics use cases.
• Proficiency in working with AWS EMR (Elastic MapReduce) for big data processing and analytics.
• Strong understanding of database concepts, data modelling, indexing, and query optimization.
• Experience with AWS services such as S3, EC2, RDS, Redshift, Lambda, and CloudFormation.
• Excellent problem-solving skills and the ability to troubleshoot complex database issues.
• Solid understanding of cloud security best practices and experience implementing security controls in AWS environments.
• Strong communication and collaboration skills with the ability to work effectively in a team environment.
• AWS certifications such as AWS Certified Solutions Architect, AWS Certified Database - Specialty, or equivalent certifications are a plus.

Title:- Lead Data Engineer 

Experience: 10+y

Budget: 32-36 LPA

Location: Bangalore 

Work of Mode: Work from office

Primary Skills: Data Bricks, Spark, Pyspark,Sql, Python, AWS

Qualification: Any Engineering degree

Roles and Responsibilities:

• 8 - 10+ years’ experience in developing scalable Big Data applications or solutions on

 distributed platforms.

• Able to partner with others in solving complex problems by taking a broad

 perspective to identify.

• innovative solutions.

• Strong skills building positive relationships across Product and Engineering.

• Able to influence and communicate effectively, both verbally and written, with team

  members and business stakeholders

• Able to quickly pick up new programming languages, technologies, and frameworks.

• Experience working in Agile and Scrum development process.

• Experience working in a fast-paced, results-oriented environment.

• Experience in Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2,

  IAM etc.

• Experience working with Data Warehousing tools, including SQL database, Presto,

  and Snowflake

• Experience architecting data product in Streaming, Serverless and Microservices

  Architecture and platform.

• Experience working with Data platforms, including EMR, Airflow, Databricks (Data

  Engineering & Delta

• Lake components, and Lakehouse Medallion architecture), etc.

• Experience with creating/ configuring Jenkins pipeline for smooth CI/CD process for

  Managed Spark jobs, build Docker images, etc.

• Experience working with distributed technology tools, including Spark, Python, Scala

• Working knowledge of Data warehousing, Data modelling, Governance and Data

  Architecture

• Working knowledge of Reporting & Analytical tools such as Tableau, Quicksite

  etc.

• Demonstrated experience in learning new technologies and skills.

• Bachelor’s degree in computer science, Information Systems, Business, or other

  relevant subject area

About the role:

 Hopscotch is looking for a passionate Data Engineer to join our team. You will work closely with other teams like data analytics, marketing, data science and individual product teams to specify, validate, prototype, scale, and deploy data pipelines features and data architecture.

Here’s what will be expected out of you:

➢ Ability to work in a fast-paced startup mindset. Should be able to manage all aspects of data extraction transfer and load activities.

➢ Develop data pipelines that make data available across platforms.

➢ Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform.

➢ Work on various aspects of the AI/ML ecosystem – data modeling, data and ML pipelines.

➢ Work closely with Devops and senior Architect to come up with scalable system and model architectures for enabling real-time and batch services.

What we want:

➢ 5+ years of experience as a data engineer or data scientist with a focus on data engineering and ETL jobs.

➢ Well versed with the concept of Data warehousing, Data Modelling and/or Data Analysis.

➢ Experience using & building pipelines and performing ETL with industry-standard best practices on Redshift (more than 2+ years).

➢ Ability to troubleshoot and solve performance issues with data ingestion, data processing & query execution on Redshift.

➢ Good understanding of orchestration tools like Airflow.

 ➢ Strong Python and SQL coding skills.

➢ Strong Experience in distributed systems like spark.

➢ Experience with AWS Data and ML Technologies (AWS Glue,MWAA, Data Pipeline,EMR,Athena, Redshift,Lambda etc).

➢ Solid hands on with various data extraction techniques like CDC or Time/batch based and the related tools (Debezium, AWS DMS, Kafka Connect, etc) for near real time and batch data extraction.

Note :

Product based companies, Ecommerce companies is added advantage

Requirements:

• 2+ years of experience (4+ for Senior Data Engineer) with system/data integration, development or implementation of enterprise and/or cloud software Engineering degree in Computer Science, Engineering or related field.
• Extensive hands-on experience with data integration/EAI technologies (File, API, Queues, Streams), ETL Tools and building custom data pipelines.
• Demonstrated proficiency with Python, JavaScript and/or Java
• Familiarity with version control/SCM is a must (experience with git is a plus).
• Experience with relational and NoSQL databases (any vendor) Solid understanding of cloud computing concepts.
• Strong organisational and troubleshooting skills with attention to detail.
• Strong analytical ability, judgment and problem-solving techniques Interpersonal and communication skills with the ability to work effectively in a cross functional team.

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Job Title: AWS-Azure Data Engineer with Snowflake

Location: Bangalore, India

Experience: 4+ years

Budget: 15 to 20 LPA

Notice Period: Immediate joiners or less than 15 days

Job Description:

We are seeking an experienced AWS-Azure Data Engineer with expertise in Snowflake to join our team in Bangalore. As a Data Engineer, you will be responsible for designing, implementing, and maintaining data infrastructure and systems using AWS, Azure, and Snowflake. Your primary focus will be on developing scalable and efficient data pipelines, optimizing data storage and processing, and ensuring the availability and reliability of data for analysis and reporting.

Responsibilities:

1. Design, develop, and maintain data pipelines on AWS and Azure to ingest, process, and transform data from various sources.
2. Optimize data storage and processing using cloud-native services and technologies such as AWS S3, AWS Glue, Azure Data Lake Storage, Azure Data Factory, etc.
3. Implement and manage data warehouse solutions using Snowflake, including schema design, query optimization, and performance tuning.
4. Collaborate with cross-functional teams to understand data requirements and translate them into scalable and efficient technical solutions.
5. Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes.
6. Develop and maintain ETL processes for data integration and migration between different data sources and platforms.
7. Implement and enforce data governance and security practices, including access control, encryption, and compliance with regulations.
8. Collaborate with data scientists and analysts to support their data needs and enable advanced analytics and machine learning initiatives.
9. Monitor and troubleshoot data pipelines and systems to identify and resolve performance issues or data inconsistencies.
10. Stay updated with the latest advancements in cloud technologies, data engineering best practices, and emerging trends in the industry.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
2. Minimum of 4 years of experience as a Data Engineer, with a focus on AWS, Azure, and Snowflake.
3. Strong proficiency in data modelling, ETL development, and data integration.
4. Expertise in cloud platforms such as AWS and Azure, including hands-on experience with data storage and processing services.
5. In-depth knowledge of Snowflake, including schema design, SQL optimization, and performance tuning.
6. Experience with scripting languages such as Python or Java for data manipulation and automation tasks.
7. Familiarity with data governance principles and security best practices.
8. Strong problem-solving skills and ability to work independently in a fast-paced environment.
9. Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.
10. Immediate joiner or notice period less than 15 days preferred.

If you possess the required skills and are passionate about leveraging AWS, Azure, and Snowflake to build scalable data solutions, we invite you to apply. Please submit your resume and a cover letter highlighting your relevant experience and achievements in the AWS, Azure, and Snowflake domains.

Responsibilities

This role requires a person to support business charters & accompanying products by aligning with the Analytics

Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.

70% management + 30% individual contributor. Responsibilities include

Project Management

- Understand business needs and objectives.

- Refine use cases and plan iterations and deliverables - able to pivot as required.

- Estimate efforts and conduct regular task updates to ensure timeline adherence.

- Set and manage stakeholder expectations as required

Quality Execution

- Help BA and SBA resources with requirement gathering and final presentations.

- Resolve blockers regarding technical challenges and decision-making.

- Check final deliverables for correctness and review codes, along with Manager.

KPIs and metrics

- Orchestrate metrics building, maintenance, and performance monitoring.

- Owns and manages data models, data sources, and data definition repo.

- Makes low-level design choices during execution.

Team Nurturing

- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.

- Provide technical guidance whenever required.

- Improve benchmarking and decision-making skills at execution-level.

- Train and get new resources up-to-speed.

- Knowledge building (methodologies) to better position the team for complex problems.

Communication

- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.

- Downstream and parallel for context-building, mentoring, stakeholder management.

Analytics Stack

- Analytics : Python / R + SQL + Excel / PPT, Colab notebooks

- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike

- Warehouse : Amazon Redshift

- ETL : Lots of Python + custom-made

- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)

- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda

‍Expected to manage the product plan, engineering, and delivery of Xoxoday Plum. Plum is a rewarding and incentives infrastructure for businesses. It's a unified integrated suite of products to handle various rewarding use cases for consumers, sales, channel partners, and employees. 31% of the total tech team is aligned towards this product and comprises of 32 members within Plum Tech, Quality, Design, and Product management. The annual FY 2019-20 revenue for Plum was $ 40MN and is showing high growth potential this year as well. The product has a good mix of both domestic and international clientele and is expanding. The role will be based out of our head office in Bangalore, Karnataka however we are open to discuss the option of remote working with 25 - 50% travel.‍

• Scope and lead technology with the right product and business metrics.
• Directly contribute to product development by writing code if required.
• Architect systems for scale and stability.
• Serve as a role model for our high engineering standards and bring consistency to the many codebases and processes you will encounter.
• Collaborate with stakeholders across disciplines like sales, customers, product, design, and customer success.
• Code reviews and feedback.
• Build simple solutions and designs over complex ones, and have a good intuition for what is lasting and scalable.
• Define a process for maintaining a healthy engineering culture ( Cadence for one-on-ones, meeting structures, HLDs, Best Practices In development, etc).

• Manage a senior tech team of more than 5 direct and 25 indirect developers.
• Should have experience in handling e-commerce applications at scale.
• Should have at least 7+ years of experience in software development, agile processes for international e-commerce businesses.
• Should be extremely hands-on, full-stack developer with modern architecture.
• Should exhibit skills to build a good engineering team and culture.
• Should be able to handle the chaos with product planning, prioritizing, customer-first approach.
• Technical proficiency
• JavaScript, SQL, NoSQL, PHP
• Frameworks like React, ReactNative, Node.js, GraphQL
• Databases technologies like ElasticSearch, Redis, MySql, Cassandra, MongoDB, Kafka
• Dev ops to manage and architect infra - AWS, CI/CD (Jenkins)
• System Architecture w.r.t Microservices, Cloud Development, DB Administration, Data Modeling
• Understanding of security principles and possible attacks and mitigate them.

‍You will lead the Plum Engineering team and work in close conjunction with the Tech leads of Plum with some cross-functional stake with other products. You'll report to the co-founder directly.

‍A wholesome opportunity in a fast-paced environment with scale, international flavour, backend, and frontend. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.

‍A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls, and Compass. Xoxoday works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners, or consumers for better business results.

‍We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

JOB DESCRIPTION:. THE IDEAL CANDIDATE WILL:

• Ensure new features and subject areas are modelled to integrate with existing structures and provide a consistent view. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of data warehouse architecture and modelling.

• Providing technical leadership to large enterprise scale projects. You will also be responsible for preparing estimates and defining technical solutions to proposals (RFPs). This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project Roles & Responsibilities.

ELIGIBILITY CRITERIA: Desired Experience/Skills:
• Must have total 5+ yrs. in IT and 2+ years' experience working as a snowflake Data Architect and 4+ years in Data warehouse, ETL, BI projects.
• Must have experience at least two end to end implementation of Snowflake cloud data warehouse and 3 end to end data warehouse implementations on-premise preferably on Oracle.

• Expertise in Snowflake – data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
• Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features
• Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python
• Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
• Experience with data security and data access controls and design
• Experience with AWS or Azure data storage and management technologies such as S3 and ADLS
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
• Must have expertise in AWS or Azure Platform as a Service (PAAS)
• Certified Snowflake cloud data warehouse Architect (Desirable)
• Should be able to troubleshoot problems across infrastructure, platform and application domains.
• Must have experience of Agile development methodologies
• Strong written communication skills. Is effective and persuasive in both written and oral communication

Nice to have Skills/Qualifications:Bachelor's and/or master’s degree in computer science or equivalent experience.
• Strong communication, analytical and problem-solving skills with a high attention to detail.

About you:
• You are self-motivated, collaborative, eager to learn, and hands on
• You love trying out new apps, and find yourself coming up with ideas to improve them
• You stay ahead with all the latest trends and technologies
• You are particular about following industry best practices and have high standards regarding quality

Primary Duties and Responsibilities 

• Experience with Informatica Multidomain MDM 10.4 tool suite preferred
• Partnering with data architects and engineers to ensure an optimal data model design and implementation for each MDM domain in accordance with industry and MDM best practices
• Works with data governance and business steward(s) to design, develop, and configure business rules for data validation, standardize, match, and merge
• Implementation of Data Quality policies, procedures and standards along with Data Governance Team for maintenance of customer, location, product, and other data domains; Experience with Informatica IDQ tool suite preferred.
• Performs data analysis and source-to-target mapping for ingest and egress of data.
• Maintain compliance with change control, SDLC, and development standards.
• Champion the creation and contribution to technical documentation and diagrams.
• Establishes a technical vision and strategy with the team and works with the team to turn it into reality.
• Emphasis on coaching and training to cultivate skill development of team members within the department.
• Responsible for keeping up with industry best practices and trends.
• Monitor, troubleshoot, maintain, and continuously improve the MDM ecosystem.

Secondary Duties and Responsibilities

• May participate in off-hours on-call rotation.
• Attends and is prepared to participate in team, department and company meetings.
• Performs other job related duties and special projects as assigned.

Supervisory Responsibilities

This is a non-management role

Education and Experience

• Bachelor's degree in MIS, Computer Sciences, Business Administration, or related field; or High School Degree/General Education Diploma and 4 years of relevant experience in lieu of Bachelor's degree.
• 5+ years of experience in implementing MDM solutions using Informatica MDM.
• 2+ years of experience in data stewardship, data governance, and data management concepts.
• Professional working knowledge of Customer 360 solution
• Professional working knowledge in multi domain MDM data modeling.
• Strong understanding of company master data sets and their application in complex business processes and support data profiling, extraction, and cleansing activities using Informatica Data Quality (IDQ).
• Strong knowledge in the installation and configuration of the Informatica MDM Hub.
• Familiarity with real-time, near real-time and batch data integration.
• Strong experience and understanding of Informatica toolsets including Informatica MDM Hub, Informatica Data Quality (IDQ), Informatica Customer 360, Informatica EDC, Hierarchy Manager (HM), Business Entity Service Model, Address Doctor, Customizations & Composite Services
• Experience with event-driven architectures (e.g. Kafka, Google Pub/Sub, Azure Event Hub, etc.).
• Professional working knowledge of CI/CD technologies such as Concourse, TeamCity, Octopus, Jenkins, and CircleCI.
• Team player that exhibits high energy, strategic thinking, collaboration, direct communication and results orientation.

Physical Requirements

• Visual requirements include: ability to see detail at near range with or without correction. Must be physically able to perform sedentary work: occasionally lifting or carrying objects of no more than 10 pounds, and occasionally standing or walking, reaching, handling, grasping, feeling, talking, hearing and repetitive motions.

Working Conditions

• The duties of this position are performed through a combination of an open office setting and remote work options. Full remote work options available for employees that reside outside of the Des Moines Metro Area. There is frequent pressure to meet deadlines and handle multiple projects in a day.

Equipment Used to Perform Job

• Windows, or Mac computer and various software solutions.

Financial Responsibility

• Responsible for company assets including maintenance of software solutions.

Contacts

• Has frequent contact with office personnel in other departments related to the position, as well as occasional contact with users and customers. Engages stakeholders from other area in the business.

Confidentiality

• Has access to confidential information including trade secrets, intellectual property, various financials, and customer data.

You will be responsible for building and maintaining highly scalable data infrastructure for our cloud-hosted SAAS product. You will work closely with the Product Managers and Technical team to define and implement data pipelines for customer-facing and internal reports.

• Design and develop resilient data pipelines.
• Write efficient queries to fetch data from the report database.
• Work closely with application backend engineers on data requirements for their stories.
• Designing and developing report APIs for the front end to consume.
• Focus on building highly available, fault-tolerant report systems.
• Constantly improve the architecture of the application by clearing the technical backlog. 
• Adopt a culture of learning and development to constantly keep pace with and adopt new technolgies.

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• Education - BE/MCA or equivalent
• Overall 8+ years of experience
• Expert level understanding of database concepts and BI.
• Well verse in databases such as MySQL, MongoDB and hands on experience in creating data models. 
• Must have designed and implemented low latency data warehouse systems.
• Must have strong understanding of Kafka and related systems.
• Experience in clickhouse database preferred.
• Must have good knowledge of APIs and should be able to build interfaces for frontend engineers.
• Should be innovative and communicative in approach
• Will be responsible for functional/technical track of a project

You will work with a top-notch tech team, working closely with the CTO and product team.  

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact, and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.

Xoxoday is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund II, Xoxoday offers a suite of three products - Plum, Empuls, and Compass. Xoxoday works with more than 2000 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, Xoxoday is a 300+ strong team with four global offices in San Francisco, Dublin, Singapore, New Delhi.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

‍

Job Description

The applicant must have a minimum of 5 years of hands-on IT experience, working on a full software lifecycle in Agile mode.

Good to have experience in data modeling and/or systems architecture.
Responsibilities will include technical analysis, design, development and perform enhancements.

You will participate in all/most of the following activities:
- Working with business analysts and other project leads to understand requirements.
- Modeling and implementing database schemas in DB2 UDB or other relational databases.
- Designing, developing, maintaining and Data processing using Python, DB2, Greenplum, Autosys and other technologies

Skills /Expertise Required :

Work experience in developing large volume database (DB2/Greenplum/Oracle/Sybase).

Good experience in writing stored procedures, integration of database processing, tuning and optimizing database queries.

Strong knowledge of table partitions, high-performance loading and data processing.
Good to have hands-on experience working with Perl or Python.
Hands on development using Spark / KDB / Greenplum platform will be a strong plus.
Designing, developing, maintaining and supporting Data Extract, Transform and Load (ETL) software using Informatica, Shell Scripts, DB2 UDB and Autosys.
Coming up with system architecture/re-design proposals for greater efficiency and ease of maintenance and developing software to turn proposals into implementations.

Need to work with business analysts and other project leads to understand requirements.
Strong collaboration and communication skills

• Ensure and own Data integrity across distributed systems.
• Extract, Transform and Load data from multiple systems for reporting into BI platform.
• Create Data Sets and Data models to build intelligence upon.
• Develop and own various integration tools and data points.
• Hands-on development and/or design within the project in order to maintain timelines.
• Work closely with the Project manager to deliver on business requirements OTIF (on time in full)
• Understand the cross-functional business data points thoroughly and be SPOC for all data-related queries.
• Work with both Web Analytics and Backend Data analytics.
• Support the rest of the BI team in generating reports and analysis
• Quickly learn and use Bespoke & third party SaaS reporting tools with little documentation.
• Assist in presenting demos and preparing materials for Leadership.

• Strong experience in Datawarehouse modeling techniques and SQL queries

• A good understanding of designing, developing, deploying, and maintaining Power BI report solutions
• Ability to create KPIs, visualizations, reports, and dashboards based on business requirement
• Knowledge and experience in prototyping, designing, and requirement analysis
• Be able to implement row-level security on data and understand application security layer models in Power BI
• Proficiency in making DAX queries in Power BI desktop.
• Expertise in using advanced level calculations on data sets
• Experience in the Fintech domain and stakeholder management.

Looking for candidates only with tier 1 colleges OR have experience in a product-based company.

Desired Skills :

● Experience with data modeling and SQL/NoSQL databases

● Experience with distributed systems and microservices

● Good experience in working with any of Java/SpringBoot, GoLang or NodeJS

● Excellent problem solving and debugging skills

● Passionate about the experience of software engineering as much as the output

● A strong sense of ownership

● Ability to communicate your ideas and approach to solving problems with clarity

Looking for candidates only with tier 1 colleges OR have experience in a product-based company.

Desired Skills :

● Experience with data modeling and SQL/NoSQL databases

● Experience with distributed systems and microservices

● Good experience in working with any of Java/SpringBoot, GoLang or NodeJS

● Excellent problem solving and debugging skills

● Passionate about the experience of software engineering as much as the output

● A strong sense of ownership

● Ability to communicate your ideas and approach to solving problems with clarity

Power BI Developer

Senior visualization engineer with 5 years’ experience in Power BI to develop and deliver solutions that enable delivery of information to audiences in support of key business processes. In addition, Hands-on experience on Azure data services like ADF and databricks is a must.

Ensure code and design quality through execution of test plans and assist in development of standards & guidelines working closely with internal and external design, business, and technical counterparts.

Candidates should have worked in agile development environments.

Desired Competencies:

• Should have minimum of 3 years project experience using Power BI on Azure stack.
• Should have good understanding and working knowledge of Data Warehouse and Data Modelling.
• Good hands-on experience of Power BI
• Hands-on experience T-SQL/ DAX/ MDX/ SSIS
• Data Warehousing on SQL Server (preferably 2016)
• Experience in Azure Data Services – ADF, DataBricks & PySpark
• Manage own workload with minimum supervision.
• Take responsibility of projects or issues assigned to them
• Be personable, flexible and a team player
• Good written and verbal communications
• Have a strong personality who will be able to operate directly with users

Desired Competencies:

Ø  Expertise in Azure Data Factory V2

Ø  Expertise in other Azure components like Data lake Store, SQL Database, Databricks

Ø  Must have working knowledge of spark programming

Ø  Good exposure to Data Projects dealing with Data Design and Source to Target documentation including defining transformation rules

Ø  Strong knowledge of CICD Process

Ø  Experience in building power BI reports

Ø  Understanding of different components like Pipelines, activities, datasets & linked services

Ø  Exposure to dynamic configuration of pipelines using data sets and linked Services

Ø  Experience in designing, developing and deploying pipelines to higher environments

Ø  Good knowledge on File formats for flexible usage, File location Objects (SFTP, FTP, local, HDFS, ADLS, BLOB, Amazon S3 etc.)

Ø  Strong knowledge in SQL queries

Ø  Must have worked in full life-cycle development from functional design to deployment

Ø  Should have working knowledge of GIT, SVN

Ø  Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.

Ø  Should have working knowledge of different resources available in Azure like Storage Account, Synapse, Azure SQL Server, Azure Data Bricks, Azure Purview

Ø  Any experience related to metadata management, data modelling, and related tools (Erwin or ER Studio or others) would be preferred

Preferred Qualifications:

Ø  Bachelor's degree in Computer Science or Technology

Ø  Proven success in contributing to a team-oriented environment

Ø  Proven ability to work creatively and analytically in a problem-solving environment

Ø  Excellent communication (written and oral) and interpersonal skills

Qualifications

BE/BTECH

KEY RESPONSIBILITIES :

Location – Bangalore

Designation – Deputy Manager - TS

Job Description

1. Total of  8/9 years of development experience Data Engineering . B1/BII role
2. Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
3. Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
4. Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
5. Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
6. Strong Python skill .
7. Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
8. Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
9. Life Science & Healthcare domain background will be a plus

Qualifications

BE/Btect/ME/MTech

• Collaborating with a team of like-minded and experienced engineers for Tier 1 customers, you will focus on data engineering on large complex data projects. Your work will have an impact on platforms that handle crores of customers and millions of transactions daily.

• As an engineer, you will use the latest cloud services to design and develop reusable core components and frameworks to modernise data integrations in a cloud first world and own those integrations end to end working closely with business units. You will design and build for efficiency, reliability, security and scalability. As a consultant, you will help drive a data engineering culture and advocate best practices.

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.

• Experience leading development efforts through all phases of SDLC.
• 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Preferred candidates with less than 30 days notice period.

• 3+ years’ experience developing and implementing enterprise-scale reports and dashboards.

• Proficiency with MS Power BI / SSRS.

• Knowledge of logical and physical data modeling concepts (relational and dimensional).

• Understanding of structured query language (SQL).