5+ Dashboard Jobs in Pune | Dashboard Job openings in Pune

Oracle BI developer wiith 6+ years experience working on Oracle warehouse design, development and
testing
Good knowledge of Informatica ETL, Oracle Analytics Server
Analytical ability to design warehouse as per user requirements mainly in Finance and HR domain
Good skills to analyze existing ETL, dashboard to understand the logic and do enhancements as per
requirements
Good communication skills and written communication
Qualifications
Master or Bachelor degree in Engineering/Computer Science /Information Technology
Additional information
Excellent verbal and written communication skills

Key skills:
Informatica PowerCenter, Informatica Change Data Capture, Azure SQL, Azure Data Lake

Job Description
Minimum of 15 years of Experience with Informatica ETL, Database technologies Experience with Azure database technologies including Azure SQL Server, Azure Data Lake Exposure to Change data capture technology Lead and guide development of an Informatica based ETL architecture. Develop solution in highly demanding environment and provide hands on guidance to other team members. Head complex ETL requirements and design. Implement an Informatica based ETL solution fulfilling stringent performance requirements. Collaborate with product development teams and senior designers to develop architectural requirements for the requirements. Assess requirements for completeness and accuracy. Determine if requirements are actionable for ETL team. Conduct impact assessment and determine size of effort based on requirements. Develop full SDLC project plans to implement ETL solution and identify resource requirements. Perform as active, leading role in shaping and enhancing overall ETL Informatica architecture and Identify, recommend and implement ETL process and architecture improvements. Assist and verify design of solution and production of all design phase deliverables. Manage build phase and quality assure code to ensure fulfilling requirements and adhering to ETL architecture.

Help us modernize our data platforms, with a specific focus on Snowflake
• Work with various stakeholders, understand requirements, and build solutions/data pipelines
that address the needs at scale
• Bring key workloads to the clients’ Snowflake environment using scalable, reusable data
ingestion and processing frameworks to transform a variety of datasets
• Apply best practices for Snowflake architecture, ELT and data models
Skills - 50% of below:
• A passion for all things data; understanding how to work with it at scale, and more importantly,
knowing how to get the most out of it
• Good understanding of native Snowflake capabilities like data ingestion, data sharing, zero-copy
cloning, tasks, Snowpipe etc
• Expertise in data modeling, with a good understanding of modeling approaches like Star
schema and/or Data Vault
• Experience in automating deployments
• Experience writing code in Python, Scala or Java or PHP
• Experience in ETL/ELT either via a code-first approach or using low-code tools like AWS Glue,
Appflow, Informatica, Talend, Matillion, Fivetran etc
• Experience in one or more of the AWS especially in relation to integration with Snowflake
• Familiarity with data visualization tools like Tableau or PowerBI or Domo or any similar tool
• Experience with Data Virtualization tools like Trino, Starburst, Denodo, Data Virtuality, Dremio
etc.
• Certified SnowPro Advanced: Data Engineer is a must.

Company Profile:

 

Easebuzz is a payment solutions (fintech organisation) company which enables online merchants to accept, process and disburse payments through developer friendly APIs. We are focusing on building plug n play products including the payment infrastructure to solve complete business problems. Definitely a wonderful place where all the actions related to payments, lending, subscription, eKYC is happening at the same time.

 

We have been consistently profitable and are constantly developing new innovative products, as a result, we are able to grow 4x over the past year alone. We are well capitalised and have recently closed a fundraise of $4M in March, 2021 from prominent VC firms and angel investors. The company is based out of Pune and has a total strength of 180 employees. Easebuzz’s corporate culture is tied into the vision of building a workplace which breeds open communication and minimal bureaucracy. An equal opportunity employer, we welcome and encourage diversity in the workplace. One thing you can be sure of is that you will be surrounded by colleagues who are committed to helping each other grow.

 

Easebuzz Pvt. Ltd. has its presence in Pune, Bangalore, Gurugram.

 

Salary: As per company standards.

 

Designation: Data Engineering

 

Location: Pune

 

Experience with ETL, Data Modeling, and Data Architecture

Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties
- Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue.

Experience with AWS cloud data lake for development of real-time or near real-time use cases

Experience with messaging systems such as Kafka/Kinesis for real time data ingestion and processing

Build data pipeline frameworks to automate high-volume and real-time data delivery

Create prototypes and proof-of-concepts for iterative development.

Experience with NoSQL databases, such as DynamoDB, MongoDB etc

Create and maintain optimal data pipeline architecture,

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Evangelize a very high standard of quality, reliability and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow

Build and enhance data pipeline architecture by designing and implementing data ingestion solutions.

 

Employment Type

Full-time