11+ Ab Initio Jobs in India
Apply to 11+ Ab Initio Jobs on CutShort.io. Find your next job, effortlessly. Browse Ab Initio Jobs and apply today!
We are looking for a Senior Database Developer to provide a senior-level contribution to design, develop and implement critical business enterprise applications for marketing systems
- Play a lead role in developing, deploying and managing our databases (Oracle, My SQL and Mongo) on Public Clouds.
- Design and develop PL/SQL processes to perform complex ETL processes.
- Develop UNIX and Perl scripts for data auditing and automation.
- Responsible for database builds and change requests.
- Holistically define the overall reference architecture and manage its overall implementation in the production systems.
- Identify architecture gaps that can improve availability, performance and security for both productions systems and database systems and works towards resolving those issues.
- Work closely with Engineering, Architecture, Business and Operations teams to provide necessary and continuous feedback.
- Automate all the manual steps for the database platform.
- Deliver solutions for access management, availability, security, replication and patching.
- Troubleshoot application database performance issues.
- Participate in daily huddles (30 min.) to collaborate with onshore and offshore teams.
Qualifications:
- 5+ years of experience in database development.
- Bachelor’s degree in Computer Science, Computer Engineering, Math, or similar.
- Experience using ETL tools (Talend or Ab Initio a plus).
- Experience with relational database programming, processing and tuning (Oracle, PL/SQL, My SQL, MS SQL Server, SQL, TSQL).
- Familiarity with BI tools (Cognos, Tableau, etc.).
- Experience with Cloud technology (AWS, etc.).
- Agile or Waterfall methodology experience preferred.
- Experience with API integration.
- Advanced software development and scripting skills for use in automation and interfacing with databases.
- Knowledge of software development lifecycles and methodologies.
- Knowledge of developing procedures, packages and functions in a DW environment.
- Knowledge of UNIX, Linux and Service Oriented Architecture (SOA).
- Ability to multi-task, to work under pressure, and think analytically.
- Ability to work with minimal supervision and meet deadlines.
- Ability to write technical specifications and documents.
- Ability to communicate effectively with individuals at all levels in the company and with various business contacts outside of the company in an articulate, professional manner.
- Knowledge of CDP, CRM, MDM and Business Intelligence is a plus.
- Flexible work hours.
This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level.
-
Fix issues with plugins for our Python-based ETL pipelines
-
Help with automation of standard workflow
-
Deliver Python microservices for provisioning and managing cloud infrastructure
-
Responsible for any refactoring of code
-
Effectively manage challenges associated with handling large volumes of data working to tight deadlines
-
Manage expectations with internal stakeholders and context-switch in a fast-paced environment
-
Thrive in an environment that uses AWS and Elasticsearch extensively
-
Keep abreast of technology and contribute to the engineering strategy
-
Champion best development practices and provide mentorship to others
-
First and foremost you are a Python developer, experienced with the Python Data stack
-
You love and care about data
-
Your code is an artistic manifest reflecting how elegant you are in what you do
-
You feel sparks of joy when a new abstraction or pattern arises from your code
-
You support the manifests DRY (Don’t Repeat Yourself) and KISS (Keep It Short and Simple)
-
You are a continuous learner
-
You have a natural willingness to automate tasks
-
You have critical thinking and an eye for detail
-
Excellent ability and experience of working to tight deadlines
-
Sharp analytical and problem-solving skills
-
Strong sense of ownership and accountability for your work and delivery
-
Excellent written and oral communication skills
-
Mature collaboration and mentoring abilities
-
We are keen to know your digital footprint (community talks, blog posts, certifications, courses you have participated in or you are keen to, your personal projects as well as any kind of contributions to the open-source communities if any)
-
Delivering complex software, ideally in a FinTech setting
-
Experience with CI/CD tools such as Jenkins, CircleCI
-
Experience with code versioning (git / mercurial / subversion)
-
Deliver plugins for our Python-based ETL pipelines
-
Deliver Python microservices for provisioning and managing cloud infrastructure
-
Implement algorithms to analyse large data sets
-
Draft design documents that translate requirements into code
-
Effectively manage challenges associated with handling large volumes of data working to tight deadlines
-
Manage expectations with internal stakeholders and context-switch in a fast-paced environment
-
Thrive in an environment that uses AWS and Elasticsearch extensively
-
Keep abreast of technology and contribute to the engineering strategy
-
Champion best development practices and provide mentorship to others
-
First and foremost you are a Python developer, experienced with the Python Data stack
-
You love and care about data
-
Your code is an artistic manifest reflecting how elegant you are in what you do
-
You feel sparks of joy when a new abstraction or pattern arises from your code
-
You support the manifests DRY (Don’t Repeat Yourself) and KISS (Keep It Short and Simple)
-
You are a continuous learner
-
You have a natural willingness to automate tasks
-
You have critical thinking and an eye for detail
-
Excellent ability and experience of working to tight deadlines
-
Sharp analytical and problem-solving skills
-
Strong sense of ownership and accountability for your work and delivery
-
Excellent written and oral communication skills
-
Mature collaboration and mentoring abilities
-
We are keen to know your digital footprint (community talks, blog posts, certifications, courses you have participated in or you are keen to, your personal projects as well as any kind of contributions to the open-source communities if any)
-
Delivering complex software, ideally in a FinTech setting
-
Experience with CI/CD tools such as Jenkins, CircleCI
-
Experience with code versioning (git / mercurial / subversion)
at Branch International
Branch Overview
Imagine a world where every person has improved access to financial services. People could start new businesses, pay for their children’s education, cover their emergency medical bills – the possibilities to improve life are endless.
Branch is a global technology company revolutionizing financial access for millions of underserved banking customers today across Africa and India. By leveraging the rapid adoption of smartphones, machine learning and other technology, Branch is pioneering new ways to improve access and value for those overlooked by banks. From instant loans to market-leading investment yields, Branch offers a variety of products that help our customers be financially empowered.
Branch’s mission-driven team is led by the co-founders of Kiva.org and one of the earliest product leaders of PayPal. Branch has raised over $100 million from leading Silicon Valley investors, including Andreessen Horowitz (a16z) and Visa.
With over 32 million downloads, Branch is one of the most popular finance apps in the world.
Job Overview
Branch launched in India in early 2019 and has seen rapid adoption and growth. In 2020 we started building out a full Engineering team in India to accelerate our success here. This team is working closely with our engineering team (based in the United States, Nigeria, and Kenya) to strengthen the capabilities of our existing product and build out new product lines for the company.
You will work closely with our Product and Data Science teams to design and maintain multiple technologies, including our API backend, credit scoring and underwriting systems, payments integrations, and operations tools. We face numerous interesting technical challenges ranging from maintaining complex financial systems to accessing and processing creative data sources for our algorithmic credit model.
As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making: We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.
Responsibilities
- Make significant contributions to Branch’s data platform including data models, transformations, warehousing, and BI systems by bringing in best practices.
- Build customer facing and internal products and APIs with industry best practices around security and performance in mind.
- Influence and shape the company’s technical and product roadmap by providing timely and accurate inputs and owning various outcomes.
- Collaborate with peers in other functional areas (Machine Learning, DevOps, etc.) to identify potential growth areas and systems needed.
- Guide and mentor other younger engineers around you.
- Scale our systems to ever-growing levels of traffic and handle complexity.
Qualifications
- You have strong experience (8+ years) of designing, coding, and shipping data and backend software for web-based or mobile products.
- Experience coordinating and collaborating with various business stakeholders and company leadership on critical functional decisions and technical roadmap.
- You have strong knowledge of software development fundamentals, including relevant background in computer science fundamentals, distributed systems, data storage and processing, and agile development methodologies.
- Have experience designing maintainable and scalable data architecture for ETL and BI purposes.
- You are able to utlize your knowledge and expertise to code and ship quality products in a timely manner.
- You are pragmatic and combine a strong understanding of technology and product needs to arrive at the best solution for a given problem.
- You are highly entrepreneurial and thrive in taking ownership of your own impact. You take the initiative to solve problems before they arise.
- You are an excellent collaborator & communicator. You know that startups are a team sport. You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
- You are excited by the prospect of working in a distributed team and company, working with teammates from all over the world.
Benefits of Joining
- Mission-driven, fast-paced and entrepreneurial environment
- Competitive salary and equity package
- A collaborative and flat company culture
- Remote first, with the option to work in-person occasionally
- Fully-paid Group Medical Insurance and Personal Accidental Insurance
- Unlimited paid time off including personal leave, bereavement leave, sick leave
- Fully paid parental leave - 6 months maternity leave and 3 months paternity leave
- Monthly WFH stipend alongside a one time home office set-up budget
- $500 Annual professional development budget
- Discretionary trips to our offices across the globe, with global travel medical insurance
- Team meals and social events- Virtual and In-person
Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law. We’re looking for more than just qualifications -- so if you’re unsure that you meet the criteria, please do not hesitate to apply!
Executive - SAP BASIS
- Required Skill - Operating systems & Tools (SUSE Linux 1 IBM AIX 1 IBM Spectrum i.e. IBM Tivoli)
- Should be experienced in administration of SUSE Linux, IBM AIX operating systems Have hands-on experience in managing & troubleshooting IBM Tivoli (Spectrum Protect) backup utility with SAP HANA & Sybase DB environment.
- Monitor status of BACKUPs, perform need based restore when require.
- Report & coordinate with team lead for incident management process. Take corrective actions for incidents related to OS & backup related issues.
- Desirable Skills - SAP NetWeaver BASIS Administration
- SAP user management for ABAP & Java stacks, Business Objects, Central User Management, etc.
- Maintain Roles and Authorization using PFCG
- SAP Transport Management using ST MS and ChaRMs
- Knowhow of using SAP Solution Manager for MoPZ, ITSM, CHARMS, CUA, EWA, System Monitoring and Technical Administration
- BASIS administration (monitoring & maintenance) of SAP systems at Primary & DR-sitesMonitor & Troubleshoot the performance of SAP systems, Troubleshoot issues and follow-up with End Users and Development team to resolve the issues.
- Data Volume Management activities like index quality analysis and rebuilding.
- Monitoring & control database growth and perform DBA operations as required. Monitor status of database archive logs for smooth operation of SAP systems.
Desirable Skills - Database Administration (HANA I Sybase I Oracle) Manage and maintain database for SAP and Non-SAP applications/systems Monitor, administer the database and troubleshoot database related issues.
Title: Data Engineer – Snowflake
Location: Mysore (Hybrid model)
Exp-2-8 yrs
Type: Full Time
Walk-in date: 25th Jan 2023 @Mysore
Job Role: We are looking for an experienced Snowflake developer to join our team as a Data Engineer who will work as part of a team to help design and develop data-driven solutions that deliver insights to the business. The ideal candidate is a data pipeline builder and data wrangler who enjoys building data-driven systems that drive analytical solutions and building them from the ground up. You will be responsible for building and optimizing our data as well as building automated processes for production jobs. You will support our software developers, database architects, data analysts and data scientists on data initiatives
Key Roles & Responsibilities:
- Use advanced complex Snowflake/Python and SQL to extract data from source systems for ingestion into a data pipeline.
- Design, develop and deploy scalable and efficient data pipelines.
- Analyze and assemble large, complex datasets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements. For example: automating manual processes, optimizing data delivery, re-designing data platform infrastructure for greater scalability.
- Build required infrastructure for optimal extraction, loading, and transformation (ELT) of data from various data sources using AWS and Snowflake leveraging Python or SQL technologies.
- Monitor cloud-based systems and components for availability, performance, reliability, security and efficiency
- Create and configure appropriate cloud resources to meet the needs of the end users.
- As needed, document topology, processes, and solution architecture.
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies
Qualifications & Experience
Qualification & Experience Requirements:
- Bachelor's degree in computer science, computer engineering, or a related field.
- 2-8 years of experience working with Snowflake
- 2+ years of experience with the AWS services.
- Candidate should able to write the stored procedure and function in Snowflake.
- At least 2 years’ experience in snowflake developer.
- Strong SQL Knowledge.
- Data injection in snowflake using Snowflake procedure.
- ETL Experience is Must (Could be any tool)
- Candidate should be aware of snowflake architecture.
- Worked on the Migration project
- DW Concept (Optional)
- Experience with cloud data storage and compute components including lambda functions, EC2s, containers.
- Experience with data pipeline and workflow management tools: Airflow, etc.
- Experience cleaning, testing, and evaluating data quality from a wide variety of ingestible data sources
- Experience working with Linux and UNIX environments.
- Experience with profiling data, with and without data definition documentation
- Familiar with Git
- Familiar with issue tracking systems like JIRA (Project Management Tool) or Trello.
- Experience working in an agile environment.
Desired Skills:
- Experience in Snowflake. Must be willing to be Snowflake certified in the first 3 months of employment.
- Experience with a stream-processing system: Snowpipe
- Working knowledge of AWS or Azure
- Experience in migrating from on-prem to cloud systems
Responsibilities:
- Should act as a technical resource for the Data Science team and be involved in creating and implementing current and future Analytics projects like data lake design, data warehouse design, etc.
- Analysis and design of ETL solutions to store/fetch data from multiple systems like Google Analytics, CleverTap, CRM systems etc.
- Developing and maintaining data pipelines for real time analytics as well as batch analytics use cases.
- Collaborate with data scientists and actively work in the feature engineering and data preparation phase of model building
- Collaborate with product development and dev ops teams in implementing the data collection and aggregation solutions
- Ensure quality and consistency of the data in Data warehouse and follow best data governance practices
- Analyse large amounts of information to discover trends and patterns
- Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\
Requirements
- Bachelor’s or Masters in a highly numerate discipline such as Engineering, Science and Economics
- 2-6 years of proven experience working as a Data Engineer preferably in ecommerce/web based or consumer technologies company
- Hands on experience of working with different big data tools like Hadoop, Spark , Flink, Kafka and so on
- Good understanding of AWS ecosystem for big data analytics
- Hands on experience in creating data pipelines either using tools or by independently writing scripts
- Hands on experience in scripting languages like Python, Scala, Unix Shell scripting and so on
- Strong problem solving skills with an emphasis on product development.
- Experience using business intelligence tools e.g. Tableau, Power BI would be an added advantage (not mandatory)
1. Communicate with the clients and understand their business requirements.
2. Build, train, and manage your own team of junior data engineers.
3. Assemble large, complex data sets that meet the client’s business requirements.
4. Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, including the cloud.
6. Assist clients with data-related technical issues and support their data infrastructure requirements.
7. Work with data scientists and analytics experts to strive for greater functionality.
Skills required: (experience with at least most of these)
1. Experience with Big Data tools-Hadoop, Spark, Apache Beam, Kafka etc.
2. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
3. Experience in ETL and Data Warehousing.
4. Experience and firm understanding of relational and non-relational databases like MySQL, MS SQL Server, Postgres, MongoDB, Cassandra etc.
5. Experience with cloud platforms like AWS, GCP and Azure.
6. Experience with workflow management using tools like Apache Airflow.
● Frame ML / AI use cases that can improve the company’s product
● Implement and develop ML / AI / Data driven rule based algorithms as software items
● For example, building a chatbot that replies an answer from relevant FAQ, and
reinforcing the system with a feedback loop so that the bot improves
Must have skills:
● Data extraction and ETL
● Python (numpy, pandas, comfortable with OOP)
● Django
● Knowledge of basic Machine Learning / Deep Learning / AI algorithms and ability to
implement them
● Good understanding of SDLC
● Deployed ML / AI model in a mobile / web product
● Soft skills : Strong communication skills & Critical thinking ability
Good to have:
● Full stack development experience
Required Qualification:
B.Tech. / B.E. degree in Computer Science or equivalent software engineering
- Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
- Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
- Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
- Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
- Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
- Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree and Random forest Algorithms.
- PolyBase queries for exporting and importing data into Azure Data Lake.
- Building data models both tabular and multidimensional using SQL Server data tools.
- Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
- Programming experience using python libraries NumPy, Pandas and Matplotlib.
- Implementing NOSQL databases and writing queries using cypher.
- Designing end user visualizations using Power BI, QlikView and Tableau.
- Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
- Experience using the expression languages MDX and DAX.
- Experience in migrating on-premise SQL server database to Microsoft Azure.
- Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
- Performance tuning complex SQL queries, hands on experience using SQL Extended events.
- Data modeling using Power BI for Adhoc reporting.
- Raw data load automation using T-SQL and SSIS
- Expert in migrating existing on-premise database to SQL Azure.
- Experience in using U-SQL for Azure Data Lake Analytics.
- Hands on experience in generating SSRS reports using MDX.
- Experience in designing predictive models using Python and SQL Server.
- Developing machine learning models using Azure Databricks and SQL Server