Python+Airflow (Altryx)-Professional

Herewith sharing JD and details for your reference. Kindly use the below tracker format.

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CID

Skill

Candidate name

Email ID

Contact Nos

Candidate Current Location

Joining Location

Total Exp

Rel Exp

Target Company ( Yes / No)

Company

Current CTC

Exp CTC

Notice

Remarks

JD for your reference :

Python+Airflow (Altryx)

POC : Sandhya

Experience:12+years And 6 to 9 Years
Notice Period: Prefer immediate to July joiner only
Location: Any Hexaware Location

Technical Architect ETL Migration (Alteryx to Python)

Budget:23LPA

Experience

• 12+ years in software engineering, data engineering, or technical architecture
• Strong experience in hands-on technical design within migration or modernization programs

Technical Skills (Mandatory)

• Expert-level proficiency in Python (production-grade, scalable systems)
• Strong hands-on experience with:
• Apache Airflow (DAG design, orchestration patterns)
• Solid understanding of ETL workflows (analysis and translation into Python)
• Expertise in coding standards, performance optimization, logging, and monitoring
• Experience with AI-assisted coding tools (Cursor, Copilot, etc.)

Exp 6-9 years

Budget: 14-15LPA

POC : Sabareesh

Design and implement Python-based solutions to replace existing Alteryx workflows

Convert, refactor, and optimize Alteryx workflows into scalable Python pipelines

Develop and manage workflows using Apache Airflow (DAG design, scheduling, dependencies, retries)

Leverage AI-assisted development tools (e.g. Cursor, coding agents) to improve productivity, code quality, and consistency

Ensure solutions align with best engineering practices (modularity, reusability, performance, documentation)

Actively participate in the full project lifecycle:

Requirements analysis

Solution design

Development

Testing validation

Deployment and post go live support

Collaborate with SMEs and business users to validate migrated solutions

Support governance, documentation, and knowledge transfer activities

JD: Snowflake + Python /ETL :

Grade G6 (9 yrs to 12 yrs)
Budget: 28LPA

POC : Kaviya

1. Strong ETL and DWH experience and knowledge
2. Worked in any one of the following tool for end to end data process implementation
   1. Redshift
   2. Snowflake
   3. Databricks
3. Ability to solve data engineering issues with SQL
4. Open to learn additional tools and technologies for Dev ops and AI in data space.

JD : Spark (Python, Scala) + SQL

Grade G6 (9 yrs to 12 yrs)

Budget: 27LPA

POC : Sabareesh

Responsibilities : 5-8 years of development experience in object oriented applications with 2-4 years of experience in Scala.

1.In depth understanding/knowledge of Hadoop spark Architecture and its components such as HDFS, Job Tracker, Task Tracker, executor

cores and memory params.

2.Experience in Hadoop development, working experience on SPARK, SCALA is mandatory and Database exposure is must

3.Hands on experience in Spark and Spark Streaming creating RDDs, applying operations -Transformation and Actions.

4.Experience in code optimize to fine tune the applications.

5.Expertise in writing Hadoop/spark Jobs for analyzing data using Spark, Scala, Hive, Kafka and Python

6.Experienced with streaming work flow operations.

7.Experience with developing large-scale distributed applications and developing solutions to analyze large data sets efficiently.

8.Integration with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions. Experience in Data Warehousing and ETL

processes.

9.Strong database, SQL, ETL and data analysis skills

JD : MDM Reltio

Grade G4(4-6yrs)

Budget:

POC : Sakthi

1. 5+ years MDM development, architecture, administration and integrations experience into Reltio MDM tool
2. At least one implementation experience in the Reltio LiveScience Velocity pack.
3. Demonstrate strong communication, analytical and organizational skills
4. Hands on and expert on data analysis within and outside data warehouse, data consolidation, or data management / governance
5. Good knowledge of SQL and Data Profiling.
6. Exposure to Clinical data systems like CTMS, EDC, eTMF
7. Exposure to data processing using Python
8. Prior experience in working with controlled environment ( Clinical, life science )

JD : Python Data Engineer (Numpy/Panda)+ SQL

Garde G5 6 to 9 Years
Budget: 22LPA

POC : Jeevitha

1. Strong knowledge on developing python applications processing large volume of data with overall 6 to 8 years of development experience.
2. Ability to write complex SQL and profile data
3. Deep knowledge on performance tuning SQL and python application which are dealing with large volume of data
4. Exposure to Airflow, K8 and Performance tuning
5. 3+ working experience on leading data framework like panda, pedantic
6. Experience with working on data sets from snowflake
7. Developer services and fine tunes application (python) deployed in containers.
8. Expertise on building unit testing using pytest
9. Prior experience in working with data project using data mapping, reference data etc
10. Experience in working on Gxp compliance project or life science project is preferred