- Manage sales operations in assigned district to achieve revenue goals.
- Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
- Identify skill gaps and conduct trainings to sales team.
- Work with team to implement new sales techniques to obtain profits.
- Assist in employee recruitment, promotion, retention and termination activities.
- Conduct employee performance evaluation and provide feedback for improvements.
- Contact potential customers and identify new business opportunities.
- Stay abreast with customer needs, market trends and competitors.
- Maintain clear and complete sales reports for management review.
- Build strong relationships with customers for business growth.
- Analyze sales performances and recommend improvements.
- Ensure that sales team follows company policies and procedures at all times.
- Develop promotional programs to increase sales and revenue.
- Plan and coordinate sales activities for assigned projects.

About Casey Foods
About
We are eastern Odisha based FMCG company under the aegis of Casey Foods having our production/manufacturing unit at Phulbani, Kandhamal District. We deal with day to day FMCG products involving common customer interest. Our common products include most of the Indian species and common edibles. Produced under controlled hygienic conditions following strict processing parameters, Casey believes quality to be in its core. Our round the clock quality testers monitor the batch by batch production thus ensuring quality to be above all in front of our esteemed customers. State of the art machineries work round the clock ensuring flawless production satisfying every customer demands. Being certified with HCCAP and FSSAI, the products of Casey had gained excellence at par. This is due to our dedicate efforts towards customer satisfaction Casey believe in “make with trust”.
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Role & Responsibilities
About the Role:
We are seeking a highly skilled Senior Data Engineer with 5-7 years of experience to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in data warehouse architecture, data modeling, ETL processes, and building both batch and streaming pipelines. The candidate should also possess advanced proficiency in Spark, Databricks, Kafka, Python, SQL, and Change Data Capture (CDC) methodologies.
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Design, develop, and maintain robust data warehouse solutions to support the organization's analytical and reporting needs.
Implement efficient data modeling techniques to optimize performance and scalability of data systems.
Build and manage data lakehouse infrastructure, ensuring reliability, availability, and security of data assets.
Develop and maintain ETL pipelines to ingest, transform, and load data from various sources into the data warehouse and data lakehouse.
Utilize Spark and Databricks to process large-scale datasets efficiently and in real-time.
Implement Kafka for building real-time streaming pipelines and ensure data consistency and reliability.
Design and develop batch pipelines for scheduled data processing tasks.
Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver effective data solutions.
Perform data analysis and troubleshooting to identify and resolve data quality issues and performance bottlenecks.
Stay updated with the latest technologies and industry trends in data engineering and contribute to continuous improvement initiatives.
Primary Skills
DynamoDB, Java, Kafka, Spark, Amazon Redshift, AWS Lake Formation, AWS Glue, Python
Skills:
Good work experience showing growth as a Data Engineer.
Hands On programming experience
Implementation Experience on Kafka, Kinesis, Spark, AWS Glue, AWS Lake Formation.
Excellent knowledge in: Python, Scala/Java, Spark, AWS (Lambda, Step Functions, Dynamodb, EMR), Terraform, UI (Angular), Git, Mavena
Experience of performance optimization in Batch and Real time processing applications
Expertise in Data Governance and Data Security Implementation
Good hands-on design and programming skills building reusable tools and products Experience developing in AWS or similar cloud platforms. Preferred:, ECS, EKS, S3, EMR, DynamoDB, Aurora, Redshift, Quick Sight or similar.
Familiarity with systems with very high volume of transactions, micro service design, or data processing pipelines (Spark).
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Expertise in practices like Agile, Peer reviews, Continuous Integration
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Familiarity with version control systems (e.g., Git) and agile development methodologies.
Ability to write clean, efficient, and well-documented code, following best practices and coding standards.
Strong problem-solving skills and the ability to work effectively in a fast-paced environment.
Excellent communication and collaboration skills, with the ability to work well in a team.
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