Talend Developer

• Design the architecture of our big data platform
• Perform and oversee tasks such as writing scripts, calling APIs, web scraping, and writing SQL queries
• Design and implement data stores that support the scalable processing and storage of our high-frequency data
• Maintain our data pipeline
• Customize and oversee integration tools, warehouses, databases, and analytical systems
• Configure and provide availability for data-access tools used by all data scientists

Roles and

Responsibilities

Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to

help us in configure and develop new AWS environments for our Enterprise Data Lake,

migrate the on-premise traditional workloads to cloud. Must have a sound

understanding of BI best practices, relational structures, dimensional data modelling,

structured query language (SQL) skills, data warehouse and reporting techniques.

 Extensive experience in providing AWS Cloud solutions to various business

use cases.

 Creating star schema data models, performing ETLs and validating results with

business representatives

 Supporting implemented BI solutions by: monitoring and tuning queries and

data loads, addressing user questions concerning data integrity, monitoring

performance and communicating functional and technical issues.

Job Description: -

This position is responsible for the successful delivery of business intelligence

information to the entire organization and is experienced in BI development and

implementations, data architecture and data warehousing.

Requisite Qualification

Essential

-

AWS Certified Database Specialty or -

AWS Certified Data Analytics

Preferred

Any other Data Engineer Certification

Requisite Experience

Essential 4 -7 yrs of experience

Preferred 2+ yrs of experience in ETL & data pipelines

Skills Required

Special Skills Required

 AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.

 Bigdata: Databricks, Spark, Glue and Athena

 Expertise in Lake Formation, Python programming, Spark, Shell scripting

 Minimum Bachelor’s degree with 5+ years of experience in designing, building,

and maintaining AWS data components

 3+ years of experience in data component configuration, related roles and

access setup

 Expertise in Python programming

 Knowledge in all aspects of DevOps (source control, continuous integration,

deployments, etc.)

 Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD

 Hands on ETL development experience, preferably using or SSIS

 SQL Server experience required

 Strong analytical skills to solve and model complex business requirements

 Sound understanding of BI Best Practices/Methodologies, relational structures,

dimensional data modelling, structured query language (SQL) skills, data

warehouse and reporting techniques

Preferred Skills

Required

 Experience working in the SCRUM Environment.

 Experience in Administration (Windows/Unix/Network/Database/Hadoop) is a

plus.

 Experience in SQL Server, SSIS, SSAS, SSRS

 Comfortable with creating data models and visualization using Power BI

 Hands on experience in relational and multi-dimensional data modelling,

including multiple source systems from databases and flat files, and the use of

standard data modelling tools

 Ability to collaborate on a team with infrastructure, BI report development and

business analyst resources, and clearly communicate solutions to both

technical and non-technical team members

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

We are an early stage start-up, building new fintech products for small businesses. Founders are IIT-IIM alumni, with prior experience across management consulting, venture capital and fintech startups. We are driven by the vision to empower small business owners with technology and dramatically improve their access to financial services. To start with, we are building a simple, yet powerful solution to address a deep pain point for these owners: cash flow management. Over time, we will also add digital banking and 1-click financing to our suite of offerings.

We have developed an MVP which is being tested in the market. We have closed our seed funding from marquee global investors and are now actively building a world class tech team. We are a young, passionate team with a strong grip on this space and are looking to on-board enthusiastic, entrepreneurial individuals to partner with us in this exciting journey. We offer a high degree of autonomy, a collaborative fast-paced work environment and most importantly, a chance to create unparalleled impact using technology.

Reach out if you want to get in on the ground floor of something which can turbocharge SME banking in India!

Technology stack at Velocity comprises a wide variety of cutting edge technologies like, NodeJS, Ruby on Rails, Reactive Programming,, Kubernetes, AWS, NodeJS, Python, ReactJS, Redux (Saga) Redis, Lambda etc. 

Key Responsibilities

• Responsible for building data and analytical engineering pipelines with standard ELT patterns, implementing data compaction pipelines, data modelling and overseeing overall data quality

• Work with the Office of the CTO as an active member of our architecture guild

• Writing pipelines to consume the data from multiple sources

• Writing a data transformation layer using DBT to transform millions of data into data warehouses.

• Implement Data warehouse entities with common re-usable data model designs with automation and data quality capabilities

• Identify downstream implications of data loads/migration (e.g., data quality, regulatory)

What To Bring

• 5+ years of software development experience, a startup experience is a plus.

• Past experience of working with Airflow and DBT is preferred

• 5+ years of experience working in any backend programming language. 

• Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL

• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development)

• Experienced with the formulation of ideas; building proof-of-concept (POC) and converting them to production-ready projects

• Experience building and deploying applications on on-premise and AWS or Google Cloud cloud-based infrastructure

• Basic understanding of Kubernetes & docker is a must.

• Experience in data processing (ETL, ELT) and/or cloud-based platforms

• Working proficiency and communication skills in verbal and written English.

Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)

Salary: Competitive as per Industry Standard

We are expanding our Data Engineering Team and hiring passionate professionals with extensive

knowledge and experience in building and managing large enterprise data and analytics platforms. We

are looking for creative individuals with strong programming skills, who can understand complex

business and architectural problems and develop solutions. The individual will work closely with the rest

of our data engineering and data science team in implementing and managing Scalable Smart Data

Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale

Processing Clusters, Data Mining and Search Engines.

What You’ll Need:

• 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal

Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied

data types.

• Proficiency in Python, Linux and shell scripting.
• Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
  ● Strong experience in developing the infrastructure required for data ingestion, optimal

extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory,  Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).

• Working knowledge of github or other version control tools.
• Experience with creating Restful web services and API platforms.
• Work with data science and infrastructure team members to implement practical machine

learning solutions and pipelines in production.

• Experience with cloud providers like Azure/AWS/GCP.
• Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
• Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
• Strong analytic skills related to working with unstructured datasets.

Good to have (to filter or prioritize candidates)

• Experience with testing libraries such as pytest for writing unit-tests for the developed code.
• Knowledge of Machine Learning algorithms and libraries would be good to have,

implementation experience would be an added advantage.

• Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
• Knowledge of Azure functions , Elastic search etc will be good to have.

• Having experience with model versioning (mlflow) and data versioning will be beneficial
• Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.