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Job Summary

To Support Data Integration Engineer – Informatica PowerCenter
Primary tool : Informatica PowerCenter and exposure of Informatica’s
other products and cloud-based data integration tools like Matillion

What a Typical Day Looks Like:

1. 3 to 5 years of experience in Data Warehousing environment with very strong
knowledge of Data Integration, migration & replication by using Informatica
PowerCenter/products, Oracle, Snowflake & Unix shell scripting
2. Proficient in Data modelling & Strong Exposure to Data Warehousing
Concepts.
3. Implementation of larger Data Warehousing/Data Lake projects
4. Strong hands-on experience on Databases including PL/SQL & SQL
5. Hands on experience in SQL query tuning, query re-writing & fine tuning
6. Preferred to have exposure on cloud data integration tools
7. Able to write the complex Unix shell and Python scripts
8. Good Written & Verbal Communication.

The Experience We’re Looking to Add to Our Team:

1. Hands on experience of Informatica Power Center and other products,
preferred to have worked on CDC (Change Data Capture) environment
2. Strong knowledge of Oracle, SQL server, postgres & Snowflake database and
write/optimizing complex SQL queries
3. Experience with scripting languages such as Unix Shell and Python
4. Strong knowledge of data analysis, data transformation, conceptual data
modelling, data transformation and metadata management.
5. Preferred to have knowledge on Qlik Replicate, Big data, APIs, and Cloud data
integration tools experience
6. Experience in handling various file types for sending/receiving data
(CSV/API/XML/JSON/AVRO)
7. Should be proficient enough to design and develop ETL for any data
warehouse projects
8. Should have very good technical skills to optimize/tune the SQL queries or
workflow to reduce cycle times to process huge data set
9. Understanding of industry standards for data security and privacy
10.Must have good communication and problem-solving skills
11.Design and Develop Informatica mappings, mapplets and workflows using
Informatica products
12.Share the workload and flexible enough to get into other technologies as
applicable and need basis
13.Coach and guide other members in the team and implement best practices
and automate some of routine day to day activities
14.Prepare High & Low-level design documents and Test cases for various Data
Warehousing projects.

Roles and Responsibilities:

1. Analyze data requirements, data model and determine the best methods in
extracting, transforming, and loading the data into the data warehouse and
other system integration projects
2. Perform source system analysis and design the extract logic
3. Architect the solution, Code Design, Implement and continuously expand data
pipelines by performing extraction, transformation and loading activities
4. Investigate data to identify potential issues within ETL pipelines
5. Write SQL scripts to perform data comparison checks to unit test data
integration jobs
6. Prepare high- and low-level design documentation
7. PoCs for various Data Integration uses cases by using various Data
Integration tools and Databases.
8. Write Shell scripts or Python scripts for various in-house automation activities

What You’ll Receive for the Great Work You Provide:

• Health Insurance

• Paid Time Off (PTO)

CF17

Job Category

Required Skills:

Optional Skills:

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